Software Engineer, Data Resume Samples

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N Rogahn

Nat

Rogahn

8814 Beier Road

Chicago

+1 (555) 459 9822

8814 Beier Road

Chicago

Phone

p +1 (555) 459 9822

Experience Experience

Phoenix, AZ

Software Engineer Data Services Graduate Intern

Phoenix, AZ

Treutel-Wolf

Phoenix, AZ

Software Engineer Data Services Graduate Intern

Consume, assess, and clean data to provide useful input for deriving insights
Use scientific method to drive work against specific projects
Strong grasp of the scientific method and statistics
Familiarity with the Java/Scala programming language
Familiarity with the concepts of Similarity, Clustering, Classification, Prediction and Recommendation
Strong familiarity with object-oriented programming
Request guidance before time-boxed projects are at risk

Boston, MA

Software Engineer Data Analytics

Boston, MA

Borer, Parker and Pollich

Boston, MA

Software Engineer Data Analytics

Development and documentation of ETL using Integration Services, Business Portals using SharePoint etc., Database Management
Contribute to design, carry out unit testing, develop test plans. Provide inputs to estimation and standards
ETL development and performance tuning
Working knowledge of MDX, DAX etc
Report development using SSRS and writing efficient expressions
Cube development knowledge (Tabular modelling, multidimensional modelling)
Expert in database development objects like procedures, functions, triggers, cursors etc

present

Los Angeles, CA

Senior Software Engineer Data Solutions

Los Angeles, CA

Dach, Crona and Kautzer

present

Los Angeles, CA

Senior Software Engineer Data Solutions

present

Design & develop utilities that can be used to identify trends, nature of incidents and provide recommendations to prevent issues
Establish and improve operational procedures
Create documents for releases, run books and operational procedures
Collaborate with onshore and offshore teams for development and/or support
Identify bottlenecks and issues and develop creative solutions
Administration of mission critical Big Data environment for our Enterprise Data Solutions team and associated data assets
Participate in technical design reviews and code reviews

Education Education

Bachelor’s Degree in Computer Science

Central Michigan University

Bachelor’s Degree in Computer Science

Skills Skills

An ability to multi-task and manage the details while keeping an eye on the big picture
Demonstrated ability to work on a diverse scope of projects requiring detailed analysis, creative/practical problem solving, and sound judgment
A strong knowledge of the Java platform
Ability to operate effectively in a team-oriented and collaborative environment
Appreciate the architectural ecosystem of engineering and be able to illustrate it
Event driven architecture
Relational and non-relational databases
Cloud-based services
Enterprise integration patterns
Service-oriented architecture (SOA) and micro-services

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15 Software Engineer, Data resume templates

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Software Engineer Data Analytics Resume Examples & Samples

Data warehousing concepts like star schema, snowflake schema etc
Solid understanding of methods used to query databases such as SQL – essential
Understanding of relational and multidimensional databases (RDB and OLAP)
Knowledge of Project management skills
Exposure to BI reporting tools like Power View, SharePoint
Expert in database development objects like procedures, functions, triggers, cursors etc
Expert in MSBI stack (SSIS, SSAS,SSRS) & SAS
ETL development and performance tuning
Cube development knowledge (Tabular modelling, multidimensional modelling)
Report development using SSRS and writing efficient expressions
Working knowledge of MDX, DAX etc
Expert in SQL
Development and documentation of ETL using Integration Services, Business Portals using SharePoint etc., Database Management
Where required extract and deliver specific data
Provide support during the warranty period
Contribute to design, carry out unit testing, develop test plans. Provide inputs to estimation and standards
Bachelor's Degree in Computer Science, Information Management or other technical / IT field, OR (about 3 years of relevant IT work experience)
Minimum 2 years of IT experience in developing IN BI related technologies
About 3 years of experience developing effective business partner and stakeholder relationships
About 3-4 years of experience in development and testing of business intelligence, data warehousing or data management solutions

Software Engineer, Data & Platform Technology Resume Examples & Samples

Engineers and develops sustainable software systems
Generates all development and diagnostic documentation
Collaborates with other team members and stakeholders to revise requirements during the execution of the project to adapt to changing conditions and to incorporate experimentally informed design revisions
Responsible for follow-up and resolution of technical problems through direct communication with other ESPN departments and third parties
Strong proficiency in the Java programming language
Strong proficiency a modern scripting language, such as Python or Ruby
Strong proficiency in SQL based, document based, and key-value based data stores
Proficiency with git
Experience with Chef
Experience with Apache Kafka

Software Engineer, Data Engineering Resume Examples & Samples

Build awesome software – Be a key player in designing and implementing software to implement, extend, and iterate our massive AWS-backed data platform
Know our tools – Be the subject matter expert on our development team for many of the open source packages which power our platform, especially Hadoop and related projects
Persistently parsimonious – Challenge the team to engineer more efficiently through effective use of our tools, standard design patterns, and full utilization of the tools available to us
Have high standards – Actively help design and implement robust data management, linking, and auditing technologies so messy or incomplete data doesn’t become a distraction
Grow with us – Help us stay ahead of the curve by working closely with data engineers, data integration engineers, our DevOps team, and analysts to design systems which can scale overnight in ways which make other groups jealous
Have been around the block – Can speak to 3+ years of experience engineering software to create, support, or extend large-scale distributed data platforms
Engineering toolkit – Can wield engineering skills relating to a number of open source projects and technologies relevant in the data space, such as Hadoop, MapReduce, Spark, Python, Pig, etc
Query ninja – Know ANSI SQL like the back of your hand; you are also very handy with No-SQL systems such as HBase, MongoDB, or Cassandra
Work smarter, not harder – Proponent of not re-inventing the wheel; generally prefer wielding the power of open source and community-driven software to solve hard problems, quickly

Software Engineer, Data Infrastructure Resume Examples & Samples

Working with data at the petabyte scale
Design and operation of robust distributed systems
Strong scripting ability in Ruby / Python / Bash
Rigor in high code quality, automated testing, and other engineering best practices

Software Engineer Data Platforms Intern Resume Examples & Samples

Operates within highly defined methods and processes
Ability to work in a team environment, under pressure, under deadline and able to make sounds decisions
Experience in “Big Data” technologies

Software Engineer Data Platforms Intern Espn Summer Resume Examples & Samples

Contributes to the development of ESPN’s data platform capabilities
Participates in the design and implementation of software and services that meet customer requirements
Engages with software developers and infrastructure engineers both within the group and with peer groups to develop solutions that ensure the quality and reliability of the group’s systems and services
Background in computer science, computer engineering, or a related field
Experience programming in an academic or professional setting
Experience developing RESTful APIs
Experience in the Java programming language
Experience in the C# programming language

Software Engineer Data Services Graduate Intern Resume Examples & Samples

Use scientific method to drive work against specific projects
Research tools, methods and techniques and leverage them to solve specific problems
Consume, assess, and clean data to provide useful input for deriving insights
Request guidance before time-boxed projects are at risk
Strong grasp of the scientific method and statistics
Comfortable working within the Linux and command line environments
Strong familiarity with object-oriented programming
Familiarity with the Java/Scala programming language
Familiarity with the concepts of Similarity, Clustering, Classification, Prediction and Recommendation
Familiarity with statistic theorem
Familiarity with the Hadoop ecosystem and Map-Reduce pattern
Familiarity with Social Networking APIs
Familiarity with Maven, Agile Development, Amazon Web Services (AWS), Apache Mahout and Spark
Data visualization via tools like Tableau, MicroStrategy, D3, Java portlets, Liferay, and/or Excel a plus

Software Engineer Data Analysis Specialist Resume Examples & Samples

Write server-side code to collect and analyse data to meet business intelligence requirements
Design, implement, and optimize database for data analysis purpose
Data mining design and implementation
Experience in data analysis and data mining, with strong coding and algorithm skills as the foundation
Has a high degree of energy and focus without compromising quality
Bachelor degree or higher in Computer Science or related field
In-depth understanding of data structures and algorithms
Strong database (MySQL) design and optimization experience
Hands-on experience in Python
Intermediate-level knowledge of Object Oriented programming
Web system knowledge and experience
Excellent working attitude, problem solving, critical thinking and communication skills

Principal Software Engineer, Data Services Resume Examples & Samples

Leads and supports efforts to provide timely, relevant, and clean data to various groups within Disney inside and outside of Disney Studios
Identify, propose, develop, validate, and deploy innovative data insight systems to business partners within Disney Studios
Provide business insights by integrating data from disparate systems and services in maintainable ways and developing validated solutions to provide those insights
Provide support to other engineers in the form of solution identification, mentoring, automation and data or effort validation
Identify opportunities for data sharing and develop federated systems to supply that data
8+ years of software engineering 5+ years of large scale systems
A strong knowledge of the Java programming language
Working experience with Hadoop batch processing system and the map-reduce horizontally scalable paradigm Experience with the Linux operating system
Strong grounding in object oriented programming, aspect oriented programming, design patterns, concurrency, algorithms & data structures
Development experience using service oriented architecture, JAX-RS and JAXB Strong ability to research solutions, processes, industry trends and best practices
Experience with alternative data processing platforms including Storm, Spark, Shark, Apache Mesos, Hive, PIG, and Apache Crunch
Experience with an analytical approach to tuning models
Experience with machine learning and machine learning libraries like Apache Mahout
Experience with deployment environments and systems including Amazon Web Services & Chef
Experience with diverse storage systems, platforms and methods including hBase, MongoDB, Apache Avro, PostgreSQL, Greenplum, Teradata
Experience with data integration including Apache Camel, Spring Batch and Talend
Experience with pilot application frameworks including Spring Roo, GWT 2.0, Portlets and Spring MVC
Experience with disciplined development practices including using tools like Maven, TestNG, Findbugs, CheckStyle, Checker, Sonar, wikis, coding standards and Git
Experience working in an evolved technical organization including contributing to and following coding guidelines, best practices, documenting, and presenting at brown bags, professional groups and conferences
Experienced in participating in scrum or other agile development environments

Software Engineer, Data Products Resume Examples & Samples

Working with a team you will design, build, test and deploy outstanding data products
You will work on a wide variety of difficult problems in information retrieval, natural language processing, unsupervised and supervised learning, crowd sourcing, and data enrichment
You will seek opportunities to deliver value early and welcome feedback in the interests of creating a product that is fit-for-purpose
As part of a multi-disciplinary team you will value collaboration and diverse thinking
You will communicate your technical vision in clear terms to both technical and non-technical team members
You will take time to demonstrate and encourage software development best practices across the team
You won’t be daunted if asked to port an algorithm to a new language or try out a new NOSQL technology. You will want to learn about new technologies and tools to help EDM accomplish its goals
2+ years’ experience working as a software developer
Good knowledge of SQL and information management
Expert in one of the following languages: Python, Java, Scala, Julia or C++. Polyglots preferred

Software Engineer, Data Int Resume Examples & Samples

2 - 5 years of experience developing and managing enterprise data management platforms utilizing a combination of the .NET Framework (C# preferred) and SQL
Strong knowledge of data warehousing design and best practices
Proficient in the management, design, and development of large database systems (MS-SQL server a plus)
Accurately estimate timelines and communicate progress effectively to business stakeholders
Ability to manage multiple deadlines related to new project initiatives and existing data process enhancements
Familiar working with a variety of data sources like web services, unstructured data and flat files
Experience with HP Vertica, Hadoop, or other big data platforms a plus
Share acquired skills/knowledge with team members and mentor junior engineers as necessary
Provide recommended solutions for complex business problems
Lead medium-size projects with strict deadlines
Diagnose and troubleshoot production application issues
Document install features for product releases
Provide input to senior management on emerging trends
Work with business stakeholder to gather requirements and create project plans
2-4 years of experience in .NET/SQL
Strong knowledge in .NET 4.5/C# and ASP.Net MVC
Strong knowledge of related technologies such as Bootstrap, JQuery, Angular JS, JavaScript, and other web frameworks
Experience with SQL Server 2008 R2+ or equivalent. Ability to write Ad-Hoc SQL
Familiar with Entity Framework (Code First and Database First)
Familiar with Agile Development Practices
Excellent verbal and nonverbal communication skills
Microsoft technologies (SQL Server 2012, Visual Studio etc)
Ability to work independently and prioritize duties with minimal supervision, in order to meet deadlines

Software Engineer, Data Infrastructure Resume Examples & Samples

Experience building and operating large scale data infrastructure in production (performance, reliability, monitoring)
Deep understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms)
Experience bringing open source software to production at scale (Yarn, HDFS, Hive, Spark, Presto, ZooKeeper, Airflow)
Experience designing, implementing and debugging distributed systems that run across thousands of nodes
Hands on experience with Hadoop (or similar) ecosystem - Yarn, Hive, HDFS, Spark, Presto, Parquet, HBase
Experience working with realtime compute and streaming infrastructure - Kafka, Kinesis, Flink, Storm, Beam
Experience configuring, identifying performance bottlenecks and tuning MPP databases
Able to think through long-term impacts of key design decisions and handling failure scenarios
Experience with workflow management (Airflow, Oozie, Azkaban, UC4)
Service oriented mindset
MPP database expertise (Redshift, Vertica, Teradata)
Experience owning mission critical service(s)
Experience planning capacity for large scale production systems
Experience working with pub-sub messaging systems (Kafka, Kinesis etc)
Experience contributing to or developing stream compute frameworks (Apache Flink, Storm, Samza, Heron, Beam etc)

Software Engineer, Data Services Resume Examples & Samples

Required: BS in Computers Science or equivalent experience, desire an MS in Computer Science
Experience with containerized deployment (Docker) is a strong plus
Strong software development knowledge in different programming/scripting languages such as Java, C++, Python, etc
Understanding of Agile or Kanban / Lean software development methodologies
Experience with distributed technologies such as Elastic Search and MongoDB a strong plus
We are interested in software developers who are hands-on and willing to dig in to tough problems. We love people who are willing to explore new areas, learn quickly, and apply their skills to challenging design issues. We want you to be a spark, bringing energy, passion and creativity to work every day
Brings an attitude of winning
Embraces and seeks innovation

Software Engineer, Data Services Resume Examples & Samples

· Proven track record working on distributed, scalable, service-oriented web based services
· Deep experience with modern data services technology stacks, including
O Hadoop (preferably EMR, but any flavor is fine)
O Lambda Architecture
O Storm, Spark Streaming, Spark SQL, Hive, Pig, etc
O Kafka, RabbitMQ, Kinesis
O Redis, DynanmoDB, Elasticache
O Python - Django, Pandas (R a definite asset)
O AWS, Heroku
O Vagrant, Chef, Puppet, Ansible, Docker etc
O Recommendations systems (AI, machine learning, etc.)

Software Engineer Data Engine Resume Examples & Samples

Work out the technical direction how to improve Pega 7 platform and evolve its architecture
Leverage Java, J2EE, and the Pega 7 Platform in new and innovative ways to help enhance and drastically evolve data engine layer of the platform
Research and prototype new tools and approaches to storing and retrieving data, e.g. introducing non-relational data stores
Re-designing data layer of the platform towards cloud enabled architecture (scalability and resilience)
Academic degree in Computer Science or related field
3-5 years of experience in a technology development role
1+ Years’ experience building and delivering production back-end enterprise
1+ Years’ experience with Java
Fluency with SQL and JDBC
Knowledge of automated testing tools
Experience with non-relational databases, such as Couchbase, Mongo, or CassandraExperience with cloud frameworks and technology, such as AWS

Software Engineer, Data Analytics Resume Examples & Samples

Develop scalable applications that run in the cloud
Participate in defining and understand the product requirements
Development of extensive test plan using structured tools, and utilities
Execution and traceability of test cases on a per release basis
Work closely with partners, application developers and customers to define and implement requirements
Partner with cross-functional teams to understand product requirements, features, and functionality

Software Engineer, Data Infrastructure Resume Examples & Samples

5 years minimum of experience writing high-performance server software on Linux/Unix
Mastery of two of following languages: C++, Python, Java, Perl, Go
Practical experience with Hadoop and extensive experience w/ SQL and NoSQL databases
Experience with large scale search and machine learning systems a plus

Senior Software Engineer / Data Modeler Resume Examples & Samples

Must have a TS/SCI with Polygraph
Requires a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field OR equivalent experience in software engineering
Requires 8+ years of software development experience creating applications using C# or C/C++ and/or Java
Experience with Oracle Business Intelligence Enterprise Edition (OBIEE)
Experience with Oracle Data Integrator
ETL expertise
Data modeling experience in an OLAP environment
Experience writing stored procedures and triggers
Experience in report creation for enterprise reporting applications
Track record of learning new techniques and/or programming languages as needed
Demonstrated technical leadership and the ability to work with a diverse team
Must be a dynamic, innovative, self-starting problem solver
Must have the aptitude and attitude to work well within a team while tackling tough technical challenges

Software Engineer, Data Resume Examples & Samples

Design and build new robust services that deliver trustworthy data in a timely manner
Integrate, materialize, and consolidate data to solve real-life analytics challenges
Determine priorities by estimating the potential impact of projects
Produce understandable, maintainable, and reusable software
Communicate with the many organizations (sales, operations, finance, engineering) inside Zenefits
Facilitate teams accomplishing their goals by providing data to drive decisions

Software Engineer Data Visualization Resume Examples & Samples

Develop data visualization features into our flagship product
Work with product owners and other stakeholders along with team members to design and build exciting features into the product
Leverage the latest technologies and collaborate with team members to drive continuous innovation
Bachelor’s degree in Computer Science or a similar degree is required
Minimum of 5 years of experience or a Master's degree and 3 years’ experience
Experience with data visualization software and libraries such as WebGL, D3.js or FusionCharts
Solid understanding and practical experience with the software development process
Production development experience in Java
Strong Web development skills in JavaScript, CSS, and HTML (HTML5, CSS3, etc.)
Experience with major JavaScript libraries (i.e. jQuery) and familiarity with AJAX and JSON
Ability to thrive in a demanding environment that imposes new challenges frequently
Strong written and verbal communications and time management skills

Senior Software Engineer, Data Movement Resume Examples & Samples

In this position, the candidate will be responsible for software design, implementation, test, debug, and maintenance of the Cray Storage Archive Product including framework, integrated services, installation, monitoring and data management
The candidate will be responsible for documentation and communication of their software designs
The candidate will be responsible for root cause analysis of customer reported issues, providing a tested solution that solve the reported problem
Experience with Object Storage
Experience with Network technologies such as InfiniBand
Experience with OpenStack
Experience with Lustre file systems

Software Engineer Data & Collaboration Services Resume Examples & Samples

1) At least 6 years of experience in Web application development/Java, J2EE, and REST APIs
2) At least 6 years of experience with JVM languages like Java/Scala/Clojure, SQL and one or more scripting languages on Unix
3) At least 4 years of experience on Database technologies- RDBMS like MySQL, Oracle and NoSQL like MongoDB, DynamoDB, Cassandra
4) At least 2 years of experience building and operating large-scale, highly available distributed systems
5) At least 2 years of experience with software design patterns
6) At least 2 years of experience developing APIs using REST
7) At least 2 years of experience in implementation and integration with third-party APIs and services
8) At least 2 years of experience with unit testing and test driven development
9) At least 2 years of experience working in Agile Software Development Methodology such as Scrum; and
10) Graduate level coursework in core Computer Science fundamentals including operating systems, data structures and algorithms

Senior Software Engineer Data Services Resume Examples & Samples

Experience building Web Services (SOAP and/or REST, client and server)
Working within or interfacing with cloud hosted applications
Continuous delivery and dev-ops experience
Scala/Java/Akka/Play development experience

Principal Software Engineer, Data Modeler Resume Examples & Samples

Gather and analyze CRHF business and operational requirements. Work on complex problems where analysis of situations or data requires an in-depth evaluation and understanding of existing application data models, data usage patterns and geographical as well as regulatory restrictions
Design and implement physical database environments, business and presentation layers
Recommend relational (RDBMS) and non-relational (NoSQL, Big Data, Doc DB) data storage technologies suitable to meet business and data needs based on deep understanding of data and existing/planned usage
Ensure compliance and integration with Medtronic reference architectures policies and deliver database performance exceeding expectation
Design extendable solutions that can ensure data integrity, high performance, high reliability and scalability, as well as security and privacy requirements compliance
Provide recommendations in the creation and implementation of new data standards and best practices for database selection, industry trends and data modeling tools
Work closely with developers, analysts, and data consumers. Coach, teach, and mentor colleagues, junior engineers, and database administrators (DBAs) for future success. Identifying and resolving performance issues and data quality issues, as they arise
Bachelor degree in Computer Science, Electrical Engineering, Software Engineering, Informatics
6+ years in modeling data for operational and information/business intelligence solutions
Firsthand experience understanding and remodeling existing application data architecture and proposing new models/architectures to meet performance and SLAs
Proven record in designing, developing and delivering Data Management and Analytic architecture across a range of applications, OLTP and BI
Expert knowledge of diverse database architectures (centralized and distributed, homogenous and heterogeneous)
Expert knowledge in database and information modelling (ER, Dimensional, physical, logical, hierarchical, semantic, etc.)
Expert in database and schema design and translation to implementation
Experience creating architectures for OLTP and BI/OLAP Big Data solutions
Experience in cloud based platforms (Amazon, Azure, etc.)
Experience with Big Data technical solutions (Hadoop, HDFS, Map/Reduce, HIVE/PIG, SPLUNK)
Experience working in Azure and/or AWS clouds with SaaS offering such as Azure Data Lake and DynamoDB
Experience working with healthcare data domains in FDA regulated environment
Experience with Data Governance, Master Data Management, and metadata management
Proven ability to communicate with success to all levels within the enterprise in both a verbal and written manner
Strong understanding of the global policies and requirements for data privacy and security
Has clinical infrastructure domain knowledge (IT Systems, HL7, EMR’s, PHR, Security and HIPAA, etc.)
Possesses an understanding of the nuances of working in a regulated environment

Senior Software Engineer Data Solutions Resume Examples & Samples

Administration of mission critical Big Data environment for our Enterprise Data Solutions team and associated data assets
Administration, Deployment Scaling, Capacity planning, Disaster Recovery, Monitoring, Maintenance, Tuning and Workload Management of all key services and areas to ensure the systems meet SLAs
Establish and improve operational procedures
Collaborate with onshore and offshore teams for development and/or support
Design & develop utilities that can be used to identify trends, nature of incidents and provide recommendations to prevent issues
Identify bottlenecks and issues and develop creative solutions
Participate in technical design reviews and code reviews
Create documents for releases, run books and operational procedures
Collaborate with teams to troubleshoot, evaluate options and resolve issues
Provide day to day L2/L3 support to fulfill the needs of the business and project teams
Ability to evaluate and conduct PoCs on new tools and technologies, especially open source Hadoop and other projects

Software Engineer, Data Resume Examples & Samples

Java EE, Spring
Database theory, evaluation, operation, health analysis
Messaging systems (e.g. Kafka, RabbitMQ, ActiveMQ)
Data processing (e.g. Spark, Storm)
Search engines (e.g. Elasticsearch, Solr)
Relational and non-relational databases
Cloud-based services
Enterprise integration patterns
Service-oriented architecture (SOA) and micro-services
Event driven architecture
Appreciate the architectural ecosystem of engineering and be able to illustrate it
Excel working in a paradigm of continuous delivery
A strong knowledge of the Java platform
Extensive expertise with software stack architecture including building and maintaining database schemas, batch processing, tiered caching architectures and content delivery optimization
Proven track record in building and launching successful Internet related products and services
Experience implementing data processing systems
An ability to multi-task and manage the details while keeping an eye on the big picture
Must demonstrate solid verbal and written communication skills

Principal Software Engineer Data Architecture Resume Examples & Samples

Master's or higher degree in Computer Science or similar technical field
15+ years in software development using Java or equivalent development languages
10+ years in technical leadership experience, demonstrating increasing impact and sphere of influence
Experience building and operating large scale, distributed, service oriented systems
Experience building and operating high volume consumer-facing software products
Experience in designing and defining APIs and services used by developers
Expert systems design and coding skills
Proven ability to deliver reliable, maintainable and performant software solutions
Strong data analysis and debugging skills
Experience working with data storage and/or management platforms as well as machine learning preferred
Experience working in Python, NodeJS or similar Lambda-supported languages
Experience with AWS Kinesis, Data Migration Service, Data Pipeline, SQS and other data movement technologies is a plus
Experience with Oozie, Sqoop, Flume, Falcon, Kafka, Storm, Spark and/or other Hadoop Ecosystem components are a plus
Experience working in serverless environments such as AWS Lambda
Experience in ETL/ELT workflow management is a plus
Experience with Big Data database components such as Hive, AWS Redshift, and/or AWS DynamoDB is a plus

Software Engineer, Data Engineering Resume Examples & Samples

2+ years of full-time, industry experience
Pipeline design/implementation with Large Distributed Databases (Hive/Spark preferred)
Working knowledge of relational databases and query authoring (SQL)
Experience with Java / Scala is preferred
Experience with scripting languages: Python (preferred) / Ruby / Bash
The knack for writing, clean, readable, maintainable code
Love to use and develop open source technologies like Kafka, Hadoop, Hive, Presto, and Spark
BS/MS/PhD in Computer Science or a related field (ideal)

Software Engineer, Data Engineering Resume Examples & Samples

Develop and maintain data pipelines (realtime and batch), with a focus on writing scalable, clean, and fault-tolerant code
Maintain various data stores and distributed systems, such as Presto and Druid, and help optimize data structures for efficient querying of those systems
Collaborate with data science on implementing machine learning algorithms to enable cross-brand personalization and engagement initiatives
Design and build front-end systems to allow business users to more easily access the data we collect
2+ years software development experience, preferably with experience using a scripting language such as Python
Experience with Hadoop and related technologies (Hive, Spark)
Proficiency with data querying languages, especially SQL
Experience with AWS tools, especially EMR, Kinesis, and Lambda
Exceptional analytical, quantitative, problem-solving, and critical thinking skills
Familiarity with Javascript (Node.js a plus)
Familiarity with frontend web development: HTML/CSS, Javascript, D3.js

Siri Software Engineer, Data Infrastructure Resume Examples & Samples

3 years minimum of experience working with large datasets
2 years minimum experience with data transformation pipelines
Thorough knowledge of HTTP

Software Engineer Data Infrastructure Resume Examples & Samples

5+ years in software development
Experience designing and implementing large scale distributed systems
Experience deploying and working with big data technologies like Hadoop, Kafka, Spark. Proficient with Linux commands
Highly proficient in OO programming (Java or Scala preferred)
Experience with Hadoop security, such as LDAP,Kerberos and compliance, is big plus

Senior Software Engineer Data Analytics Resume Examples & Samples

BS/MS in Computer Science or a related technical field; 5+ years of coding experience in Java or C/C++
Strong foundation in computer science with an emphasis in algorithms, data structures, software design and cloud design
Strong NoSQL experience and knowledge is a must
5+ years of data analytics and science experience
Experience with Scala; experience working with Kafka; experience working with Spark, Hadoop, Cassandra
Machine Learning and Deep Learning experience is a plus
Experience building and developing Cloud-based applications or services, preferably in AWS
Knowledge and experience developing high scale, distributed applications is a plus