Proven experience in software engineering with expertise or interest in data engineering
Experience with Python (awswrangler, pytest, mypy, boto3, pandas, numpy)
Proficient in working with AWS (Redshift, Glue, Athena, Lambda, SNS, CloudFormation)
Experience in writing complex, highly-optimized SQL queries across large data sets
Strong analytical skills related to working with unstructured datasets
Well versed in agile engineering best practices, including version control (GIT), test-driven development and continuous integration

Nice to have

Experience with JavaScript
Expertise no-SQL databases
Experience with streaming data e.g. Apache Kafka or Amazon Kinesis
Prior exposure to visualization tools and libraries such as QuickSight or Tableau
Understanding of Big Data processing architectures e.g. Hadoop, Spark, Presto
Bachelor’s degree or higher in Software Engineering, Computer Science, Information Management, Big Data & Analytics, or related field
Interest in data analytics

Data Engineer

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