Posted:5 days ago|
Platform:
Work from Office
Full Time
Design, deveop, and manage our data infrastructure on AWS, with a focus on data warehousing soutions. Write efficient, compex SQL queries for data extraction, transformation, and oading. Utiize DBT for data modeing and transformation. Use Python for data engineering tasks, demonstrating strong work experience in this area. Impement scheduing toos ike Airfow, Contro M, or she scripting to automate data processes and workfows. Participate in an Agie environment, adapting quicky to changing priorities and requirements Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Mandatory Skis: Candidate shoud have worked on traditiona Data warehousing with any database (Orace or DB2 or SQL Server) (Redshift optiona) Candidate shoud have string SQL skis and abiity to write compex queries using anaytica functions. Prior working experience on AWS patform Python programming experience for data engineering .Experience in PySpark/Spark Working knowedge of Data Pipeines too Airfow The beow skis are nice to haveExperience with DBT, Exposure to working in an Agie environment. Proven abiity to troubeshoot and resove production issues under a DevOps mode A track record of continuousy identify opportunities to improve the performance and quaity of your ecosystem. Experience monitoring performance and ensuring Preferred technica and professiona experience Knowedge of DBT for data modeing and transformation is a pus. Experience with PySpark or Spark is highy desirabe
IBM
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