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Senior Data Engineer (ETL, Python, Airflow, Athena, AWS)

Providence Partners

This is a Full-time position in Austin, TX posted February 3, 2021.

We’re looking for a self starter with a high attention to detail and experience in building rich data models for analytic consumption. This role will interact heavily with BI analysts, data consumers, and data producers to build and support data pipelines. As a Senior Data Engineer, you will own the development, testing, and delivery of data from sources to our various data stores. You will be responsible for setting SLAs and delivery expectations for stakeholders, and setting up appropriate monitoring and alerting in the event of an outage or data quality concern. This role will give you the opportunity to become a subject matter expert of data. You will work closely with our Analytics team to establish and enforce data governance to make sure that data being used is accurate and up to date. Our ideal candidate is curious, analytical, technically competent and has a deep appreciation for the potential data can unlock. They are driven by the desire to ensure that we continue to make the best possible decisions driven by the best possible data. Job Responsibilities Own and build ETLs to support ever-expanding dimensional models. Design and implement the conversion of raw data from multiple sources into the analytic data model Monitor and validate the fidelity of data pipelines and models Build features and tools that give the analytics team the resources they need to solve problems. Work with operations to make sure our warehousing data is secure and compliant. Work with the analytics team to ensure our data governance is robust. Required Skills Qualifications Bachelorrsquos degree in computer science or bachelorrsquos degree in a STEM field. 5+ years of software industry experience (or 2+ years with MastersPhD) Proficient in scripting languages like Python and SQL. Strong experience using relational databases and working with data models. Experience with common software engineering tools such as Git (or other VCS), JIRA, confluence and similar platforms. Ability to work in a Unix-based operating system (Linux, MacOS) Experience working in AWS technologies like S3, redshift, athena, lambda and glue. Experience with Airflow is a BIG plus Understanding of data-loading patterns from distributed file systems to warehousing databases Foundational experience in data architecture systems (including data warehousing and data analytics).

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