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BI Data Engineer
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Full-time
- Leads the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.
- Develops and delivers communication and education plans on analytic data engineering capabilities, standards, and processes.
- Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
- Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases.
- Experience in building data pipelines and deploying/maintaining them following modern DE best practices (e.g., DBT, Airflow, Spark, Python OSS Data Ecosystem)
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