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Job Location: New York City Metropolitan Area
Role and Responsibilities:
- Designing and developing highly robust, repeatable, and scalable workflow patterns to ingest, integrate and publish a wide variety of data from internal and external sources
- Work across a wide range of problems in the data ingestion, data compute, data transport, data orchestration, data interoperability, experimentation, and data privacy areas
- Working with solution and data architects to develop, construct, test and maintain ultra-modern architectures, prototypes, and design solutions
- Review and integrate data into readily available formats while maintaining existing structures and govern their use according to business requirements
- Manage the evaluation and integration of new data sources as they become available and monitor the performance, scalability, and security of data
- Partner with client engineering teams to understand their data needs and help create tools and automation that helps them derive value from their data
- Works with the Business Intelligence delivery team to build out target information delivery architecture across PowerBI
- Lead by example, role-modeling best practices for unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting and incident response.
Requirement/Competencies:
- Bachelor’s or Master’s (preferred) degree in in a quantitative or technical field such as Computer Science, Information Technology, Computer Engineering or equivalent
- 5+ years industrial experience in application development for data systems at scale (building data warehouse, data marts, data lakes, ETL, analytic solutions, etc.)
- 3+ years of experience implementing solutions with AWS, specifically data services (EC2, EMR, RDS, Redshift, Aurora-Postgres, Glue ETL, Lambda, SNS, SQS etc)
- Knowledge of market trends including cloud technology
- Demonstrated interest in learning about emerging data platforms and Big Data technologies
- Expert working knowledge of Python programing language, SQL, and data modeling, with the ability to understand the context of a business question and build a holistic answer
- Experience modeling data in a warehouse such as Snowflake and/or Redshift
- Managed agile/scrum team(s) before of different skill levels and know when to be a motivator, coach, or a player
- Strong communication, problem solving, and organizational skills
- Must be detail oriented, quality driven, and able to shift quickly to new tasks
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