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- Remote if not located in Columbus, OH - must be EST time zone
- Design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading ETL of data from a variety of data sources.
- Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier.
- Write complex SQL queries to support analytics needs.
- Evaluate and recommend tools and technologies for data infrastructure and processing.
- Work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, BigTable, Cassandra, Presto, Strom.
- Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
- Perform complex, important work under minimal supervision and with wide latitude for independent judgment.
- Bachelor's degree in Computer Science, Information Systems, related fields, or equivalent experience required.
- 6+ years of relevant experience.
- Considered highly skilled and proficient in discipline.