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BI Data Engineering Manager
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Full-time
- Plan, organize, and manage the activities of the BI Data Engineering team to provide an efficient and cost-effective data infrastructure for McLane Company and provide maximize productivity using technology.
- Lead the evaluation, implementation and deployment of emerging tools and process for analytics data engineering to improve productivity and quality.
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
- Five or more years’ 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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