This position requires a Bachelors degree in Engineering, Computer Science, Information Systems, or related field or its equivalent, plus 10 years of professional experience as a Data Engineer or related engineering occupation. 10 years of experience in each of the following is also required experience with Python software development; handson experience streaming and building solutions for realtime applications; experience building and maintaining robust and scalable data integration ETL pipelines using SQL, EMR, Python, and Spark; experience writingbr complex, highly optimized SQL queries across large data sets; experience designing and maintaining columnar databases using at least one of the following Redshift or Snowflake; experience with distributed data processing using at least one of the following Hadoop, Spark, orbr Hive; experience utilizing ETL with batch AWS Data Pipeline or Airflow and streaming Kinesis or Kafka; experience with integration and design for Business Intelligence tools such as Looker or QuickSight; experience creating scalable data models for analytics; and experience designingbr and building data lakes, with continuous improvement examples for automation and simplification across all aspects of the DW environment.br br Telecommuting remote work is permitted.
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