What You Will Do

• You will work on and contribute into building a modern analytics platform leveraging AWS technologies including Glue, S3, Athena, RedShift, and QuickSight.
• You will develop data models and repeatable and stable ETL pipelines including data quality checks and monitoring while acquiring and processing data from different sources.
• You will identify data infrastructure pain points and work closely with software and cloud infrastructure engineers to improve productivity and make data analysis great.
• You will help make the data available to business users leveraging data visualization tools, such as AWS QuickSight.

Who You Are

• You have built and iterated on production grade ETL.
• You have a strong command of SQL and relational databases.
• You like to tinker with data to enable others to gain valuable insights using your efficient queries, relevant metrics, and clear dashboards
• Last but not least, you are self-driven, well organized, curious, tenacious, and communicate effectively. You ask a lot of questions, dig deep, and come up with creative reliable solutions and execute repeatably with a great sense of ownership and accountability.

Nice If You Have

• Familiarity with Python including Pandas and Numpy.
• Experience with data visualization tools, such as AWS QuickSight, Tableau, or PowerBI.