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Data Engineer

Our bread and butter is Python and PostgreSQL, but we also utilize a range oftechnologiesincluding AWS Lambda, SNS, SQS, Redis, and Dynamodb for caching and mapping, as well as Redshift, Kinesis, and Spark for large dataset munging and ad hoc analysis. The Role You Will Have Create, build, and maintain a coherent and performant data architecture Prototype, develop, deploy, and debug data ingestions and data management services Participate in peer code reviews and produce high quality documentation Construct queries and reports to guide architectural design, business decisions, and optimization algorithms Take projects through the full engineering lifecycle: designing, ticketing, building, testing, deploying, and debugging tools and products Help grow a team and work with a tight knit group of engineers and data stakeholders What You Will Bring Bachelor's in Computer Science or equivalent 3+ years of experience with Python development 3+ years of experience working with large SQL datastores (PostgreSQL, Redshift) Understanding of NoSQL datastores like DynamoDB and Redis Experience with Linux and the AWS ecosystem
Salary Range: NA
Minimum Qualification
Less than 5 years

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