Software Engineer, Big Data Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the software engineer, big data job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

Q Schaden

Queen

Schaden

21118 Dewayne Terrace

Los Angeles

+1 (555) 117 5889

21118 Dewayne Terrace

Los Angeles

Phone

p +1 (555) 117 5889

Experience Experience

Phoenix, AZ

Software Engineer, Big Data

Phoenix, AZ

Beahan Inc

Phoenix, AZ

Software Engineer, Big Data

Collaborate with other computer engineers to solve complex problems that affect both functionality of existing software and delivery of new features to production, document user stories and break them into specific detailed technical tasks and design, develop and test new/changed components of Data Platforms leveraging commercial software and open source to interface big data with relational solutions
Working knowledge of Hadoop, MapReduce, HDFS, Spark
Working directly with many teams across Facebook
You design, develop, test, deploy, maintain, and enhance software solutions
Enhance the reach and accessibility of our data by contributing to our reporting offerings using a combination backend scripting and data processing using SQL/Pig/Hive and AWS technologies such as S3, EMR, and Lambda
You will design and code solutions for providing low-latency, high-throughput data persistence solutions for our industry-leading ad server platform
Implement and configure big data technologies as well as tune processes for performance at scale

Boston, MA

Senior Software Engineer, Big Data

Boston, MA

Robel, Denesik and Kunde

Boston, MA

Senior Software Engineer, Big Data

Participate in continuous improvement efforts to enhance performance and provide increased functionality
Work seamlessly with Agile development teams
Improve current data induction framework
Diagnose and address database performance issues using performance monitors and various tuning techniques
Build Java or Scala frameworks to support the Hadoop infrastructure
Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem
Participate in the full SDLC (Agile), including planning meetings, iterative Development cycle, estimations and design sessions

present

Los Angeles, CA

Principal Software Engineer Big Data

Los Angeles, CA

Schuster LLC

present

Los Angeles, CA

Principal Software Engineer Big Data

present

Work in a cross-functional environment to architect, design and develop new functions in our product line
Conduct feasibility analysis, produce functional and design specifications of proposed new features
Troubleshoot complex issues discovered in-house as well as in customer environments
Improve codebase, bring in latest technologies, re-architect modules to increase the throughput and performance
Mentor junior engineers in software development, technology and processes
Solid CS fundamentals including data structure and algorithm design, and creation of architectural specifications
R&D contributions and production deployments of large backend systems, with at least 2 years supporting big data use cases

Education Education

Bachelor’s Degree in Computer Science

University of Massachusetts Amherst

Bachelor’s Degree in Computer Science

Skills Skills

Database design
SQL queries and optimizing them
ETL processes
A programming language (e.g. C++ or Java)
And a drive to see things done
Experience with specific “big data” technologies including Hadoop, HBase, Storm, Kafka, Spark
Experience with distributed systems handling large scale data sets
Experience developing high frequency/low latency applications
Experience developing Real Time Bidding or Ad Tech applications

Create a Resume in Minutes

15 Software Engineer, Big Data resume templates

Read our complete resume writing guides

Senior Software Engineer Big Data Infrastructure Resume Examples & Samples

Expert knowledge of Java & JVM, Python / JavaScript, C & Linux system (5+ years' experience required). (You should be capable of programming in compiled & dynamic languages.)
You have expertise in data-stores (both transactional & non-transactional) & can code in a highly concurrent environment
You are comfortable with distributed systems, RESTful architectures & have built scalable, low-latency systems that provide high availability

Senior Software Engineer, Big Data Platform Resume Examples & Samples

Build data ingestion frameworks and automate ingesting data into Hadoop in a seamless fashion realtime
Research, and develop frameworks for data analysis
Develop monitoring solutions to detect data ingestion failures, MapReduce Job failures etc. and take appropriate remedies
Develop Data Adapters to ingest various types of Unstructured, Semi Structured and Structured data from various data sources and types
Collaborate with people working on traditional Data Warehouse technologies and ensure consistency for the data exposed through these different channels
Own the end-to-end quality for the code you develop - (tests, code coverage etc.)
Follow a customer centric approach, and ensure the solutions developed actually meet the customer requirements
Bachelor's Degree in CS or equivalent

Senior Software Engineer, Big Data Resume Examples & Samples

Strong experience in application design, design patterns and performance tuning
Strong SQL, Data Modeling and DB skills
Able to effectively communicate across teams and roles
Ability and desire to thrive in a proactive, high-pressure, client-services, environment

Senior Software Engineer, Big Data Resume Examples & Samples

5-7+ years in software development
5 years working in the Data mining/warehousing field
Degree in a computer science, statistics, applied mathematics, or related fields
Strong knowledge of information retrieval principles and processing techniques
Strong knowledge of MPP architecture and systems
In depth, hands-on knowledge of HDFS, Hadoop, PIG, Hive, Spark in a production environment
In depth, hands-on knowledge of both RDBMS and NoSQL technologies such as HBase, Aerospike, Couchbase and Cassandra with demonstrated ability to make sound decisions regarding data storage choice
Ability to work with data scientists to translate algorithms to work in high volume production systems
Familiarity with data mining and machine learning fundamentals
Preferred data visualization skills using tools like Tableau, Qlikview, D3, and/or Spotfire
Experience deploying big data solutions in public cloud such as AWS
Knowledge of open source big data frameworks
Knowledge of Continuous Integration, Continuous Delivery, and modern DevOps strategies
Strong programming skills in Java and Python, with a good understanding of one or more of: Scala, C, C++
Comfort working with a variety of team members across different disciplines

Software Engineer, Big Data Resume Examples & Samples

Build data solutions that enable product and business teams at Facebook to make data driven decisions
Rethink and influence strategy and roadmap for building scalable data solutions and scalable data warehouse environment
Implementing the tools and processes, handling performance, scale, availability, accuracy and monitoring
Leverage homegrown Big Data framework as well as off-the-shelf tools, as appropriate
Create actionable dashboards and unique data visualisations
Working directly with many teams across Facebook
5+ years of previous work experience or B.Sc. or M.Sc. in Computer Science or related field
Thorough knowledge and experience with Java and/or Python
Passionate about data
Experience with large-scale production databases
Experience and knowledge of big data technologies such as Hadoop, HBase, Hive, Presto, ETL frameworks
Experience with backend web development such as Ruby on Rails/ Node.js/ Django/
PHP/ React
Experience with machine learning - advantage Please submit an English version of your CV

Principal Software Engineer Big Data Architecture Resume Examples & Samples

Bachelor’s Degree in Computer Science, Engineering, Mathematics, related field or equivalent experience
Experience developing in an Agile/scrum framework
A proven ability to lead technical global teams as a Product Owner or the team architect
Strong written and verbal English skills
Ability to work diverse hours to support geographically distributed teams
5+ years’ experience in software engineering and architecture
3+ years’ experience in the Big Data space; Hadoop, NoSQL, Analytics, Data Management
Exceptional software engineering knowledge; OO Design Principles
Experience with PaaS, preferably Cloud Foundry/Pivotal Cloud Foundry
Expertise in scripting languages: Python, Perl, Bash, Shell
Experience with Ruby, Python, Golang and/or Java programming Languages
Experience with Rails and/or Spring frameworks
Experience in web front-end development; JavaScript, Angular JS and client-side MVC frameworks
Familiarity with the Cloud ecosystem, products and solutions
Strong product/technology/industry knowledge

Senior Software Engineer Big Data Resume Examples & Samples

Rock-solid coder
5+ years of hands-on experience with the Hadoop stack (Hadoop, MapReduce, HDFS)
Deep experience with NoSQL databases, primarily MongoDB
Deep understanding of Data Warehousing design concepts centered on Redshift, Postgre and Star Schema
Knowledge of cloud computing infrastructures, preferably AWS and experience with scalable, distributed systems
A solid team player and decision maker, who sees the benefits of helping the team meet its goals
Experienced in working in a fast-paced, collaborative Agile/Scrum environment
Passion for data, insights and analysis
Experience with common Big Data querying tools such as Pig and Hive
Knowledge of stream-processing systems using solutions like Storm or Spark-Streaming
Bachelor's degree in Computer Science or related field required. Advanced degree in Computer Science preferred

Software Engineer Big Data-data Driven Analytics Resume Examples & Samples

Design, assess and implement data driven backend technologies as part of a cross functional team
Work closely with the areas of business analysis, support and testing
Design and develop data driven applications on distributed systems
Design and implement data integration pipelines and patterns
Provide Data Scientists with tooling in order to integrate Big Data, Data Science and Web Applications
Support Data Scientists to transform data science models into robust, scalable product modules
Continuous development of automation solutions in data processing
Working in an agile environment and continuous improvement of agile processes (e.g scrum)
Good programming skills in at least one of the following languages Java, Scala, Python, Julia
Knowledge of the most important software design principles and patternsExperience with version control, continuous integration and unit testing (e.g. Git, Bamboo, Jenkins)
Experience in Apache Hadoop, RDBMS (MySQL, Postgres) and NoSQL
Experience with Cloud Services (e.g. Amazon AWS)
Basic knowledge of the Linux-platform and its tools
Optional: Know How in Machine Learning Tools
Optional: Experience with Virtualization (e.g. VmWare, Docker)

Software Engineer, Big Data Resume Examples & Samples

SQL queries and optimizing them
ETL processes
A programming language (e.g. C++ or Java)
And a drive to see things done

Senior Software Engineer, Big Data Resume Examples & Samples

5-10 years of Java or Scala
3+ years of experience with Big Data and Hadoop
Working knowledge of streaming frameworks and technologies
Working knowledge of message brokers like Kafka
Extreme comfort building and working with RESTful APIs
Tons of experience working with open source software
Lots of work on Java frameworks and tools
Comfortable in a mature software engineering environment

Senior Software Engineer, Big Data Resume Examples & Samples

Architect and develop applications that scale up to a Billion events per day
Mentor and grow a team of big data engineers
Bachelors Degree or Equivalent inEngineering orComputer Science
Generally requires 7-11 years of related experience
3+ years of experience building large scale big data applications
Proficiency in a programming language, ideally Python, Java, or Scala
Experience with big data interactive query technologies like Spark, Impala, or Hive
Excellent communication skills
Proficiency in Spark and/or Scala
Experience with version control (Git preferred)
Experience building Continuous Integration (CI)/Continuous Deployment(CD) systems
Experience leading code reviews

Senior Software Engineer Big Data Resume Examples & Samples

Driven and focused self-starters, great communicators, amazing follow-through - you have a great work ethic and love the responsibility of being individually empowered
Extensive software development experience in one or more of the following languages
Experience in distributed computing in Hadoop/HDFS, Spark, and Cassandra environment
Experience in creating tools that make developing, monitoring, and debugging software easier
Masters or PhD in Computer Science or related field

Software Engineer, Big Data Resume Examples & Samples

You will design and code solutions for providing low-latency, high-throughput data persistence solutions for our industry-leading ad server platform
At least 2 years of experience in leading projects preferred
Excellent understanding of multithreaded applications
Experience with specific “big data” technologies including Hadoop, HBase, Storm, Kafka, Spark

Senior Software Engineer Big Data Resume Examples & Samples

Bachelor's or Master's degree in Computer Science/Engineering discipline
5-7 years of strong hands on experience in applications development in a complex, multi-platform distributed environment
Strong Expertise in Java Application development, Spring Framework, web services development
Experienced in building data & analytics platform in cloud (AWS) is highly preferred
Experienced in big data (Hadoop EMR, YARN and Spark) development techniques
Experienced in big data tools stack including spark, sqoop, pig, flume, python, java, Hive, Hbase is highly preferred

Senior Software Engineer Big Data Resume Examples & Samples

Strong Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving and complexity analysis
Familiarity with professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Broad ability to take a project from scoping requirements through launch and operations of the project
Experience with Hadoop, MapReduce, Spark, Cassandra or other Big Data processing platforms

Software Engineer, Big Data Resume Examples & Samples

Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and experience commensurate with the requested level in software engineering; if no degree, equivalent experience in software engineering
8+ years software development experience creating applications in C/C++ and Java
Experience developing software on a big data analytics platform
Experience with parallel programming (Map Reduce, Hadoop)
Proven scripting experience using Python or Perl
Demonstrated technical leadership, ability to influence and to work with a diverse team
TS/SCI & Polygraph
Algorithm analysis experience
Performance Tuning experience
HBase, HIVE, and/or PIG experience
Experience working with Splunk

Principal Software Engineer Big Data Resume Examples & Samples

Troubleshoot complex issues discovered in-house as well as in customer environments
Improve codebase, bring in latest technologies, re-architect modules to increase the throughput and performance
Mentor junior engineers in software development, technology and processes
Solid CS fundamentals including data structure and algorithm design, and creation of architectural specifications
R&D contributions and production deployments of large backend systems, with at least 2 years supporting big data use cases
Deep experience defining big data solution architectures and component designs, exploring technical feasibility trade-offs, creating POCs using new technologies, and productizing the best solutions in line with business requirements
Proven track record in working with internal customers to understand their use cases, and developing technology to enable analytic insight at SCALE
Passion for developing and maintaining a high quality code and test base, and enabling contributions from engineers across the team
Ability to achieve stretch goals in a very innovative and fast paced environment
Ability to learn new technologies quickly and independently

Senior Software Engineer, Big Data Resume Examples & Samples

Demonstrate the knowledge and ability to perform in all of the basic database management skills of database administration, physical structure, overall architecture, and database analysis and plan resource requirements
Work seamlessly with Agile development teams
Diagnose and address database performance issues using performance monitors and various tuning techniques
Research and evaluate alternatives and recommend solutions for business issues
Participate in continuous improvement efforts to enhance performance and provide increased functionality
Serve in the weekly on-call rotation and represent the team during slowdowns and outages
Mentor less experienced and new team members as well as senior technicians on other teams as appropriate
For each project, meet with the various teams, e.g., development, data administration, business analysts to analyze the requirements and database impacts
Serve as a SQL language technical expert
Serve as an RBDMS platform technical expert
Identify issues and escalate suggestions for database improvements (tables, indexes, DAL changes, etc.)
Maintain and monitor operational DB maintenance plans
Troubleshoot operational DB issues (isolate problem queries or connections, capture and analyze DB traces, etc.)
10+ years of experience in relational and analytical database design and development
Extensive knowledge of relational database technology, specifically DB2 LUW
Strong hands-on experience in designing, developing, implementing and supporting batch/online mainframe applications using COBOL, JCL, DB2/SQL and IMS/CICS
Excellent communication, analytical, problem-solving and planning skills
Ability to work well as a team and as an individual with minimal supervision
Strong hands-on experience in SQL
Experience in the development lifecycle, using source code control, automated builds, testing, release management
Comfortable in Mainframe, Linux or Unix environment (command line)
Experience with map-reduce frameworks (Hadoop, Hive, Pig, Sqoop, Python, Java) is a huge plus
Solid working knowledge of database administration methodologies and techniques, and a good understanding of logical and physical database design principles
Other related skills and/or abilities may be required to perform this job

Associate Software Engineer, Big Data Resume Examples & Samples

Sling Java code that process billions of records across large distributed clusters
You design, develop, test, deploy, maintain, and enhance software solutions
At least 6 years of experience in developing client-server applications
Expert level Java preferred
Ability to learn and investigate new areas independently
Experience with distributed systems handling large scale data sets

Software Engineer, Big Data Resume Examples & Samples

Design and build data processing pipelines for structured and unstructured data using tools and frameworks in the Hadoop ecosystem
Build streaming and real-time data analytic pipelines
Implement and configure big data technologies as well as tune processes for performance at scale

Software Engineer, Big Data Analytics Resume Examples & Samples

Develop algorithms and build predictive models to solve business problems
Enhance or create new products and digital services
Evaluate new software tools and systems for data analytics
Conduct research on new methods and technologies
Experience of at least one modern programming language (e.g. C, C++, Java)
Experience working with mainstream scripting languages (e.g. Python, JavaScript, Perl)
Experience in data mining and machine learning techniques
Experience with a cloud-based service, like AWS or Azure strongly preferred

Principal Software Engineer Big Data Resume Examples & Samples

5+ years’ experience with programming languages: Core Java, Scala, Python
Experience with Hadoop, Hive, Spark
Kafka & Storm – experience creating real time data store and analytics use cases
Elastic & Kibana – experience with visualization tools

Senior Software Engineer, Big Data Operations Resume Examples & Samples

Maintain and develop tools for software release, monitor, data analysis, data/file syncing, source code stats and application management (Big Data) running on AWS
Manage/Deploy/Monitor applications wrapped in containers and Kerbernetes
Measure, evaluate and tune system/application performance via solid data analysis
Refine and work on automation tools with Jenkins, Salt, puppet, fabric, etc
Could adapt quickly and become guru for administrating JIRA/Confluence/Git based systems
Work on internal incubated projects and prove ideas by quickly showing the usable code
Work on architectural refactoring projects for FreeWheel applications
Required to work on some weekends and be part of 'on call' schedule to support a 24X7 Video Adserving Network
5+ years working experience and 1+ years in Hadoop technology
Hands-on experience in operations of Hadoop based data platform (HDFS, HBase, YARN, Spark, MapReduce, Kafka, Hive)
Familiar with container tech stack and experienced on kubernetes
Strong Shell/Python/Go programming skill; Knowledge on Ruby/Java/C++ is plus
Expert knowledge in Linux, system programming and system task automation processes
Experienced in virtualization techs and works, familiar with private cloud setup
Strong understanding of best practices for software engineering, system design and scalable fault tolerant web architecture
Wide interest and good common sense on web/internet technologies
Good written English and verbal communication skills
Bachelor's or Master's degree in Computer Science or related field
Knowledge and experience on data analysis, MongoDB/MySQL database is a plus
Operations background would be a plus
Team player, self motivated, quick learner, energetic

Software Engineer Big Data Analytics Resume Examples & Samples

Design and build knowledge extraction algorithms from both Web and enterprise data, machine learning algorithms for text processing, conversational bots, data ingestion and serving systems
Develop and support highly scalable interfaces and APIs
Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) applications
Work with product owners and customers on understanding their learning applications, assisting with integration and providing ML expertise
Produce high quality code that is unit tested, code reviewed, and checked in regularly for continuous integration
Evangelize and/or propose new ideas while ‘bringing others along” with strong communications
Demonstrate a sense of pride, commitment and personal accountability for the end-to-end product
Conduct technical investigations and prototyping in a fast-paced environment
Experience with core machine learning and data analysis algorithms and their use in production scenarios. Ideal candidates would have either worked in a product that uses ML heavily, or have distinguished extracurricular experiences
Experiences with big data technologies such as Hadoop, Spark, SQL, HDInsight, Azure Data Lake, Cosmos on SaaS and PaaS delivery models
Mastery of object-oriented design, coding and testing patterns
Deep understanding of data structures, algorithms, programming patterns, and solving complex problems
Experience with developing statistical modeling techniques, optimization methods, and other ML techniques to different applications in business and engineering
Exposure to Agile software delivery; acceptance test driven development and/or test-driven development preferred
MS in Computer Science, Applied Mathematics or in another highly quantitative field