Senior Data Engineer: Databricks on Azure & ETL Lead
McKinsey & Company
McKinsey & Company is seeking a skilled Data Engineer to join their team in Dallas, Texas. The ideal candidate will have 6+ years of experience in data engineering with a focus on Databricks, Azure, and big data technologies. You will lead the development of scalable data solutions, ensuring optimal performance, and mentor junior engineers in best practices. This role offers the opportunity to work in a dynamic environment that emphasizes continuous learning and innovation, along with competitive compensation and comprehensive benefits. #J-18808-Ljbffr McKinsey & Company
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$195.3k - $199.2k
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$102.4k - $179k
...enhance a modern, AI-ready data enablement platform... ..., and reusable engineering patterns across the enterprise... ..., CI/CD patterns, Databricks Asset Bundles, dbt transformation... ...cases. As a hands-on senior individual contributor... ...solutions using Azure Databricks, PySpark,...DatabricksSenior- A leading production technology company is seeking an experienced Data Engineer to design, build, and optimize modern data pipelines. You will... ...cloud tools, developing scalable ETL workflows feeding platforms like Snowflake and Databricks. The role offers flexibility...DatabricksSenior
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