3 months ago
Job Summary
Job Description/Requirements
Responsibilities Working with the team to understand data needs; defining and developing applications/architecture; performing source to target data mapping; designing, reviewing, implementing, and optimizing Data Engineering and ETL processes. Identifying, designing, and implementing internal process improvements for automating manual processes, optimizing data delivery, security, and scalability Conducting exploratory data analysis, data cleaning & processing Ensuring proper computational infrastructure is available to support development and iteration for projects Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies. Must have a solid understanding of Data structures, Algorithms and object oriented design Must have experience and/or knowledge of relational (e.g. Postgres), NOSQL (e.g. MongoDB/DynamoDB/Elasticsearch) data systems & distributed system concepts from a data storage and compute perspective. Should have experience in application development and related open source technologies including microservices, RESTful APIs development Should have experience with DevOps toolchains for infrastructure deployment, software build/test/deploy, and systems/application monitoring/logging tools Must be able to write secure, stable, testable, maintainable code with minimal defects Must have experience with native AWS technologies for data storage, ETL and analytics such as S3, Lambda, API Gateway, etc. Must have excellent communication skills Should have good scripting and programming skills.
In this role, your tasks will include:
Minimum Requirements
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