Senior Analytics Engineer Resume Samples

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A Schneider

Alexzander

Schneider

9732 Kobe Glens

Phoenix

+1 (555) 485 5973

9732 Kobe Glens

Phoenix

Phone

p +1 (555) 485 5973

Experience Experience

Philadelphia, PA

Senior Analytics Engineer

Philadelphia, PA

Bartoletti, Rogahn and Schimmel

Philadelphia, PA

Senior Analytics Engineer

Maintain, streamline and harden existing data pipelines, from ingestion, through ETL and batch processing
Successfully implementing process improvements impacting own work and work of others
Devise and engineer applications for the next generation of our analytics platform, supporting Glu's worldwide studios and central functions such as marketing
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team
Recognizing and managing technical dependencies and/or limitations that impact analytic work
Ensures that milestones are achieved on time and on-budget and in scope by dealing with or escalating issues with sufficient time for course correction
Propose architecture solutions and best practices designed for enterprise wide projects involving massively parallel processing

Detroit, MI

Senior Analytics Engineer IoT

Detroit, MI

Leffler, Stoltenberg and Williamson

Detroit, MI

Senior Analytics Engineer IoT

Continuous integration workflows
Configuration and deployment tools (eg. Ansible, Terraform, etc.)
Agile principles and processes
Knowledge of source control systems, especially git
Functional and unit testing (manual or automated)
Python 3, Node.js, Rust or Go
Knowledge of Docker, Terraform or Kubernetes

present

Chicago, IL

Senior Analytics Engineer, Optimization

Chicago, IL

Jenkins Group

present

Chicago, IL

Senior Analytics Engineer, Optimization

present

Leverage strong engineering knowledge for building models and to develop new optimization algorithms. Engage technical experts across the business for knowledge capture into the solution
Implement and validate algorithms
Have pride – Ensure messy data isn’t our weakness by implementing and refining robust data management, linking, and auditing technologies
Support Configuring, sizing, tuning, and monitoring analytic clusters
Are you highly collaborative and enjoy working on teams that solve challenging problems by working together?
Is the thought of competing with toe-to-toe with cutting-edge media and technology companies through the use of data and information exciting?
Provides leadership in developing analytical solutions to business problems through the design and programming

Education Education

Bachelor’s Degree in Computer Science

Ashford University

Bachelor’s Degree in Computer Science

Skills Skills

Experienced with SQL with experience working in large-scale analytical environment like, Hadoop, MapReduce & Analytic databases like Vertica, Teradata, Netezza, Greenplum, Aster Data, Paraccel
Proficiency on OOT development, testing and deployment with C++/Java. Knowing Hadoop-related technologies like Pig, Hive, Flume, Scribe, ActiveMQ, Cloudera is big
Proficiency in scripting to manipulate data, develop tools and automate process in unix/linux environment. Skilled in scripting languages (Shell, Python, PHP, Perl)
Strong in Python, Java, or PHP stack
Familiarity with the following technologies
Linux environments including CentOS and Ubuntu
Message busses such as Scribe, Flume, ActiveMQ
Configuration management tools like Puppet, Chef
NoSQL data stores like MongoDB, HBase, Cassandra, Couchbase
Revision control systems like Subversion, Git, Perforce

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15 Senior Analytics Engineer resume templates

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Senior Analytics Engineer Resume Examples & Samples

Design, develop and maintain on large-scale BI/Analytics/Reporting applications
Iterate on two weeks development cycles with frequent releases to a large community of internal users
Develops and project estimates in collaboration with cross-functional teams
Ensures that milestones are achieved on time and on-budget and in scope by dealing with or escalating issues with sufficient time for course correction
Escalates all unresolved project or personnel issues to the appropriate managers
Provide expert advice in the usage and interpretation of data to various business partners
Actively question and challenge customers to understand their requirements and reach the best solutions, near term and long term
Successfully implementing process improvements impacting own work and work of others
7+ years of development experience with specific focus in developing highly scalable web and/or enterprise technology projects
3+ years of development experience with BI/Analytics/DW Reporting
Experienced with SQL with experience working in large-scale analytical environment like, Hadoop, MapReduce & Analytic databases like Vertica, Teradata, Netezza, Greenplum, Aster Data, Paraccel
Proficiency on OOT development, testing and deployment with C++/Java. Knowing Hadoop-related technologies like Pig, Hive, Flume, Scribe, ActiveMQ, Cloudera is big plus
Proficiency in scripting to manipulate data, develop tools and automate process in unix/linux environment. Skilled in scripting languages (Shell, Python, PHP, Perl)
Strong in Python, Java, or PHP stack
Familiarity with the following technologies
Linux environments including CentOS and Ubuntu
Message busses such as Scribe, Flume, ActiveMQ
Configuration management tools like Puppet, Chef
NoSQL data stores like MongoDB, HBase, Cassandra, Couchbase
Revision control systems like Subversion, Git, Perforce
Proficient in Linux environment
Write and interpret complex SQL queries, aggregations and ETL
Strong analytical, debugging and trouble shooting skills
Familiarity with large scale machine learning or Experience with distributed systems is a plus
Experience in human computer interaction, data visualization, or business intelligence are a plus
Familiarity with games is a big plus
Knowledge and experience of analytics solutions and processes in web analytics is a big plus
VLDB experience with multiple relational databases such as Netezza, Teradata, Oracle, DB2 or SQL Server
Experience with and knowledge of multiple Data Warehouse/Data Mart architecture
Thorough knowledge of ETL process architecture, design and implementation
Experience with performance and scalability design and testing
Extensive experience with relational and dimensional DB design and development
Near-real-time Data Warehousing experience and experience with micro-batch loads strongly desirable
Customer-centric Data Warehouse experience highly desirable
Functional knowledge of OLTP and OLAP architectures, methods and processes as they relate to Data Warehouse input/output design and interface contracts
Basic familiarity with analytical tools such as: MicroStrategy, Business Objects or Tableau useful as context
Experience contributing to project task prioritization, planning, estimating, work assignment, & quality assurance at every stage of a project
Experience with end-to-end implementation, and maintenance of a multi-Terabyte DW Environment in a Fortune 1000 corporation strongly desired
Experience with technical proof of concept initiatives strongly preferred
5-7 years software development experiences on distributed and high availability systems
Strong programming skill in coding, algorithm using compiled language and script languages
Experienced with development processes and lifecycles in a technology organization
Excellent ability to develop rapid prototyping and building stable, maintainable code
Experience in Advanced Analytics and tools like SAS,R, SPSS a plus
Experiencing working with multiple groups, bridging the gap between business needs and technical solutions
Excellent written and verbal communication skills; ability to communicate across a diverse range of internal and external contacts
Must have aptitude and proven record of innovation and creative problem solving
Experience with large internet, media, or entertainment business models strongly preferred
Broad experience base w/ two or more of the following work environments a plus: Internet company, fortune 500 company, software company, consulting firm, or a media company
Demonstrated ability to synthesize business requirements from customer inputs
Demonstrated ability to map business/functional requirements to appropriate technical requirements
Committed to ensure deliverables dependable, efficient and scalable solutions
Willing to and capable of quickly and actively understanding and adapting to changes in business requirement, environment, process, tools and new technology
Team player and work with business users, DBAs, application engineers often to find most suitable solution

Senior Analytics Engineer Resume Examples & Samples

Perform data modeling, schema design, and mapping across very large data sets to ensure data is accessible, reliable, and efficiently available
Participate in data analysis, mapping, dimensional modeling, and troubleshooting if necessary in order to maintain high quality, well-structured, and robust data
Leverage data analytics tools to design and implement business intelligence reporting and analytics solutions, such as dashboards, reports, and ad-hoc capabilities
Create and develop data mining, discovery, and analytics capabilities with custom and third-party software solutions
Propose architecture solutions and best practices designed for enterprise wide projects involving massively parallel processing
Lead data analysis investigations focused on data quality, availability, or reliability
Participate in development activities including model walkthroughs, requirements, and gap analysis
Implement data access integrations and endpoints, such as RESTful APIs, data pipes, and small-scale web applications
Create documentation, unit tests, samples, and other artifacts to validate your work and to assist others using or supporting your work
Work closely with data architects, data integration engineers, system engineers, and other team members to deliver the very best data analytics products
Perform exploratory and quantitative analytics when required
Actively participate in the team’s software development lifecycle (agile-based)
Assist with transitioning projects into production and troubleshooting of problems
Keep your eyes open for new technologies, ways of doing things, risks, and opportunities so the team can stay at the leading edge of the possible
Do you like to leverage your technical skills to tell stories with data and make it meaningful to many different groups of people?
Are you highly collaborative and enjoy working on teams that solve challenging problems by working together?
Is the thought of competing with toe-to-toe with cutting-edge media and technology companies through the use of data and information exciting?
Involvement with crafting business intelligence/data analytics strategy
Familiarity with Hadoop and related technologies such as Pig, Hive, Spark, Flume, Scribe, and Cloudera
Familiarity with data analytics tools, such as R, SAS, and SPSS
Experience in other areas of technology infrastructure and development, such as web applications, desktop applications, middleware, application security, etc
Use of a web development framework, such as Django or Ruby on Rails
Personal or professional experience with open source software
You have previously worked in the media or entertainment space

Senior Analytics Engineer Resume Examples & Samples

Build cool things – Build software across our entire cutting-edge and cloud-based platform, including data pipeline tools, interfaces and small-scale web applications, with awesome cutting-edge technologies
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery
Innovate and inspire – Think of new ways to help make data meaningful, actionable, and manageable and then work across our team to put your ideas into action
Have pride – Ensure messy data isn’t our weakness by implementing and refining robust data management, linking, and auditing technologies
Grow with us – Help us stay ahead of the curve by working closely with data architects, ETL specialists, our DevOps team, and analysts to design systems which can scale overnight in ways which make other groups jealous
Not your first rodeo – Have 7+ years of experience developing with a mix of languages (Java, Python, Bash, etc.) and frameworks to implement data-related tools and technologies
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
Developer at heart – Enjoy tinkering and developing with a wide set of tools to solve almost any challenge you encounter, especially with data platforms like Hadoop
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
Passion and creativity – Are passionate about data, technology, & creative innovation
Team player – Enjoy working collaboratively with a talented group of people to tackle challenging business problems so we all succeed (or fail fast) as a team

Senior Analytics Engineer Resume Examples & Samples

5 years plus experience in designing, developing, and deploying analytics solutions
4 years plus experience in SAS Analytics Pro version 9.1.3 or higher (Windows 2008 or higher)
4 years plus experience with the following Areas of SAS
SAS Base including Data Step; PROC Report; SAS ODS; PROC Tabulate; PROC Summary; PROC MEANS; SAS arrays; PROC Transpose and Merge; and SAS Functions
Ability to create SAS Data Sets from raw data extracted from various data sources and file formats
SAS Macros including the ability to design and write flexible and reusable code using SAS Macros; understanding of Macro Variables; and passing parameters
2 years or more experience with the following Areas of SAS is a plus
SAS STAT software including the creation of variance and predictive models; Analysis of Variance; Regression Analysis; and Multivariate Analysis Web Intelligence
SAS ETS Software econometric and time series techniques for modeling, forecasting, simulating business processes; modeling risk factors to predict economic outcomes for various scenarios; and using time stamp data to predict trends Desktop Intelligence
SAS Graph software including the creation of data in charts, graphs, and maps as well as drill down
Installing and configuring SAS Management Console
4 years plus experience and proficiency with the following Areas of Relational Databases
Knowledge and Strong Experience with one or more of the following databases MS SQL Server; Oracle; and Sybase IQ
Ability to perform Complex Selects, Updates, Inserts, Deletes on database tables
Ability to perform Query Performance Tuning
Familiar with Erwin or similar data modeling software
Ability to interact with end users and Business Analysts
Experienced with all phases of the Software Development Life Cycle (SDLC)
Leadership qualities and a self- starter

Senior Analytics Engineer Resume Examples & Samples

Maintain uptime requirements with highly available clusters
Improve automated monitoring and failure recovery
Manage backups for key data stores
Support data lineage and data quality management
Implement security and regulatory compliance measures
Solve Business problems through the design and programming
VLDB experience with multiple relational databases. Familiarity with large scale multi terabyte environment or Experience with distributed systems is a plus
Experience with and knowledge of multiple Data Warehouse / Data Mart architecture
Designed system architecture and data model with analytics engineers
5+ years of development experience with Databases/Analytics/DataWarehouse

Senior Analytics Engineer Resume Examples & Samples

Committed to delivering dependable, efficient and scalable solutions
Experience in Data Visualization tools using HTML, Node.js, AJAX, APACHE/Nginx, Javascript
Experience in web framework eg: Django and/or Flask
Proficiency in scripting to manipulate data, develop tools and automate process in unix/linux environment
Experience in Python, Java, or PHP stack
Familiarity with the following technologies: Linux environments including CentOS and Ubuntu / NoSQL data stores like MongoDB, HBase, Cassandra, Couchbase / Revision control systems like, Git, Perforce
0-3 years software development experiences on distributed and high availability systems
3-5 years of development experience in visualization tools

Senior Analytics Engineer Resume Examples & Samples

Knowledge of the Hadoop ecosystem with experience in Hive, MapReduce, etc
Experience with reporting and analytic tools such as Datameer, Platfora, R, Mahout, MicroStrategy, SAS
Experience creating machine learning, data mining, data visualization, data munging, or statistical models for Big Data problems
Experience with terabyte or larger size poly-structured data sets
Experience with statistical analysis software, such as Weka, R, Rapid-Miner, Matlab, SAS, SPSS
Any experience in analytical techniques such as time series analysis, regression analysis, or other
Any experience in web analytics or behavioral targeting
Any experience in Hadoop (Cloudera), ETL (Talend), MapReduce, Hive, Pig, HBase, Java, C++, Perl, Python, or Clojure
Partner with client sectors to build and share successful understandings of how business value can be derived from big data
Build prototype solutions for problems brought by business sectors and prove that business value can be derived from the data
Identify engineering solutions and products to build a portfolio of recommended analytical solutions
Design and enhance the big data portfolio within client projects identified, validated, and tested data science products
Foster adoption of data driven decision making by publishing, enforcing, and mentoring on data science best practices
Proficient with R, SQL, and either Python or Java
Familiar with SAS, Hadoop, and elements of Hadoop ecosphere

Senior Analytics Engineer Resume Examples & Samples

Data and business process automation and transparency
Partner with CIMA Teams to document and automate data processes
Designs, develops, implements, and tests software fixes, enhancements, components and/or new software systems and applications used in local, networked, or big data related computer programs using new or existing technologies for Big Data and reporting products of Walt Disney Parks and Resorts
Designs and develops highly scalable software systems and applications in a variety of high traffic functional areas such as e-commerce, account management and mobile
Ability to communicate with technical and non-technical personnel
Strong understanding of NoSQL datastores and their applicable use cases
Experience with Apache Mesos
Bachelor’s Degree in technology field (Computer Science, Engineer, etc.)

Senior Analytics Engineer Resume Examples & Samples

Maintain adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc
Provide input into product selection and standards, design, and certification
Adheres to engineering methodologies and architecture global standards
Develop methods and deploy data-intensive scientific workflows and pipelining tools in an internal or external hosted environment
Focus on capabilities, workflows and visualizations for internally hosted data producing dashboards for various metrics
Experience in Azure or Amazon S3 cloud technologies with exposure to managing raw data and its archiving
Adhere to E&Y and ITIL guidelines for Incident, Problem, and Change Management
Ensures all work is carried out and documented in accordance with required standards, methods and procedures
Curious about data, Understands data and can categorize data as descriptive/diagnostic/predictive/perspective. Knowledge on techniques to data
Strong exposure to move data around, from a database or an API, transform it into a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.)
Knowledge on Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, Pwoershell, Perl one-liner
Exposed to Big, undefined problems and petabytes of data
Selects appropriately from applicable standards, methods, tools and applications and use accordingly
Ability to work well within a multi-disciplinary team structure, but also independently
Is able to absorb rapidly new technical information, business acumen, and apply it effectively
Ability to make key decisions as they relate to service disruptions and problems
Ability to rapidly absorb new technical information, business acumen, and apply it effectively
Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change
This position does not have supervisory responsibilities
Substantial, extensive and demonstrated experience in various aspects of technology infrastructure design and implementation, and/or support
Approximately 12 plus years of related operations experience supporting large projects in production setup

Senior Analytics Engineer Resume Examples & Samples

Minimum a Degree / Doctorate in Computing, Computer Engineering, Computer Science or equivalent
At least 3-6 years of relevant experience
Prior experience in Data analytics, mathematical optimization or modeling & mining will be an added advantage
Knowledge in Matlab, SAS, SPSS will be an added advantage

Senior Analytics Engineer Resume Examples & Samples

Lead design of PHM systems for NPI programs
Formulate and implement plans to achieve technical requirements, schedule and contract
Bachelor's Degree in Engineering, Physics, or Mathematics from an accredited college or
Experience in planning, executing, and delivering business solutions on time and within
Effective team building and project management ability
Strong interpersonal, influencing, and leadership skills
Strong problem analysis and resolution skills
Ability to be flexible and persevere through uncertainty
Prior experience in Diagnostics Analytics development

Senior Analytics Engineer Resume Examples & Samples

Work with customers to capture data and analytics requirements
Develop, verify, and validate analytics to address customer needs and opportunities
Leverage existing Power teams, and work collaboratively with GE Software, Global Research, and other business entities
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
Work in technical teams in development, testing/ validation, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
Perform exploratory and targeted data analyses using descriptive statistics and other methods
Work with data engineers on data quality assessment, data cleansing and data analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
Evaluate emerging analytics technologies, vendors and provide recommendations to the business
Communicate methods, findings, and hypotheses with stakeholders
Master’s Degree in Engineering/Science plus 5 year analytics development for industrial applications in a commercial/industrial setting
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., JMP, R, Python)
Demonstrated skill with SQL, querying data and exposure to Big Data
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets
Demonstrated skill in prescriptive analytics and analytic prototyping
Ability to work in a dynamic environment, large variety of groups, and with team members at global locations
Must be willing to travel to GE global locations & customer sites, typically less than 10%
Demonstrated skill in one or more industry sectors of power generation/distribution (gas turbines, coal powered, Nuclear, reciprocating engines, compressor), and/or water & process treatment technologies
Knowledge/exposure to industrial automation, onsite control systems, supervisory control systems
Demonstrated skill in defining and delivering customer value

Senior Analytics Engineer Resume Examples & Samples

Some years of experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI like Cognos, Tableau etc.)
Some years’ experience programming ETL programs using standard languages or tools (Informatica, Data Stage, Oracle or equivalent)
3+ years’ experience performing data analysis and profiling, and designing ETL systems/programs
In depth understanding of data integration best practices, leading industry applications and features such as master data management, entity resolution, data quality assessment, metadata management, etc
Understanding of data warehouse best practices
Good interpersonal skills and the ability to collaborate with other technical teams, project management, client management and business analysts
Experience of the health and human services industry an advantage
Understands basic functionality and interoperability of product modules / components

Senior Analytics Engineer Resume Examples & Samples

Manage remote connectivity via Server Management to get messages from Customer systems to Teradata Backend applications so customer system events can be monitored, actions can be recommended based on event rules and taken in order to track, investigate and resolve issues as rapidly as possible, for example, new incidents can be created with diagnostics information attached for support engineers to investigate
Automate monitoring of the messaging traffic from Customer systems, detection of abnormal traffic and timely notification with proactive recommendations in order to resolve issues immediately, prevent potential issues from happening, protect infrastructure’s ability to process messages and create incidents, and project backend infrastructure capacity requirements to meet SLAs
Create and update event rules by collaborating with Product Engineers, Field Services Engineers, Support Engineers in order to minimize unnecessary false positives and to cover new scenarios where incidents shall be automatically generated
Research, design, prototype, test and document novel algorithms for event signature identification, representation, persistence, retrieval and matching, in order to achieve automated, near real time decision making on data and problems
On a daily basis, you will work with massive datasets, which includes data integration, data cleansing, exploratory analysis, predictive modeling, and rapid prototyping. You will present findings to teammates and guide the transition of new algorithms into operational code
Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, Data Science, or Operations Research)
10+ years of related experience gained through a combination of academic studies and work experience
Prior work and/or research demonstrates experience in the following areas

Senior Analytics Engineer Resume Examples & Samples

Lead the design and use of custom analytics reports and efficient HQL/SQL queries
Create weekly presentations to report status of Social/Mobile games to management
Lead A/B testing process and status reporting
Coordinate with other team members to provide recommendations for changes and improvements to increase player retention and monetization
Create ad hoc reports
5+ years of professional experience in analytics, statistics or engineering
Advanced SQL/HQL/MySQL
Experience mentoring team members
Other statistical analysis tools a plus (e.g. Minitab, SAS, R, etc.)
Presenting analysis in a group setting
Clear and effective communication of complex ideas and analysis
General understanding of programming concepts and methodology a plus
Critical thinking and creative problem solving

Senior Analytics Engineer, Optimization Resume Examples & Samples

Leverage strong engineering knowledge for building models and to develop new optimization algorithms. Engage technical experts across the business for knowledge capture into the solution
Implement and validate algorithms
Deliver new commercially re-usable analytics that meet quality standards to drive growth in asset, application & industry coverage
Should be able to influence from a technical standpoint across the function and business. Ability to influence at the peer level is key
Optimize and define new processes and tools, to enable large scale enterprise-grade analytics development
Deliver core product requirements to Product Management, Software Engineering & UX Design
Master’s Degree in Mechanical or Aerospace Engineering
Minimum work experience of 5 years
Work experience in a research environment
Demonstrates capability of 'rolling up sleeves and getting hands dirty'
Works well in fast paced growing environment
Perform tasks in an independent manner with minimal guidance
Knowledge of GE industrial products
High attention to detail including ability to manage multiple, competing priorities simultaneously

Senior Analytics Engineer Resume Examples & Samples

Work hand in hand with Latin America clients to lead and solve complex technical problems
Define, develop, test and operationalization of analytical solutions based on client’s needs
Maintain direct communication with multiple teams as well as Latin America clients
Effectively communicate and provide recommendations to internal and external GE customers through the analysis, preparation and presentation of technical data
BS degree plus 6 years of experience or Master’s degree plus 4 years of experience or PhD degree plus 2 years of experience
Degree must be in
Experience in airlines operations
Knowledge on aircraft engines performance and operational parameters
Experience in Data Mining techniques and Machine Learning algorithms
Experience in prototyping analytics solutions for complex problems

Senior Analytics Engineer IoT Resume Examples & Samples

Functional and unit testing (manual or automated)
Knowledge of source control systems, especially git
Experience with database design and usage
Continuous integration workflows

Senior Analytics Engineer Resume Examples & Samples

GE - Digital: https://www.youtube.com/user/industrialinternet
Master’s degree in Mechanical/Electrical Engineering
Minimum work/research experience of 3 years in industry or university
Demonstrated ability to deliver industrial grade analytics
Ability to translate business needs to technical requirements, propose and validate solutions
Demonstrates expertise in problem solving and technical innovation
Effective teaming and problem solving abilities
Able to interface effectively with multiple levels of the organization and external customers
Knowledge of GE industrial products, experience in delivering end to end solutions

Senior Analytics Engineer Resume Examples & Samples

Agile principles and processes
Configuration and deployment tools (eg. Ansible, Terraform, etc.)
Experience with cloud hosting platforms or virtualised production environments
Use of a high level programming language to gain new insights from raw data
Python 3, Node.js, Rust or Go
Data visualisation tools (eg. Tableau, QuickSight, Kibana, D3.js)
Knowledge of Docker, Terraform or Kubernetes
Experience with AWS, especially S3, Lambda, Kinesis or Redshift
Experience of maintaining production infrastructure

Senior Analytics Engineer Resume Examples & Samples

Devise and engineer applications for the next generation of our analytics platform, supporting Glu's worldwide studios and central functions such as marketing
Maintain, streamline and harden existing data pipelines, from ingestion, through ETL and batch processing
Build and own tightly-engineered back-ends for various data applications
Work with Analytics and Product Management to ensure optimal data design and efficiency
Bachelor's degree in computer science/mathematics/engineering, or other fields with proven engineering experience
5-7 years software engineering experience, especially working on back-end data infrastructure
Proficiency with at least one of the following languages: Java, Python, Scala
Experience with SQL and SQL-like languages, especially Hive
Extensive experience and knowledge of the Hadoop Ecosystem
Basic statistics background (knows correlation from causation, and enjoys arguing about sample sizes)
Bonus Points
Experience Building data-rich web applications, especially with technologies like Angular.js and Node.js
Knowledge of distributed stream processing technologies such as Storm, Heron, Spark Streaming or Google Dataflow
Knowledge of NoSQL application data stores i.e. HBase, Cassandra, DynamoDB, BigTable

Senior Analytics Engineer Resume Examples & Samples

Bachelor’s Degree from an accredited university or college
5 years of experience in project management or Leadership program graduate (preferably DTLP, OMLP, EEDP)
Very proficient using Microsoft Excel
Experience with Contract Margin Review (CMR) process
Experience with Software development
Experience using SQL, R, Python, SAS
Demonstrate analysis and problem solving skills
Solid project management skills and ability to monitor and communicate project status, business issues, and significant developments
Demonstrated ability to drive projects to completion