Job Description

Description

:

Datalake Engineer

Technical expertise & Qualification

  • 4+ years of experience in data warehousing and ETL processes.
  • 2+ years of experience engineering data platforms using Python and Spark.
  • Implementation knowledge of large complex data platforms is preferred
  • Proficiency in AWS data ingestion using DMS and storage solutions like S3, Lambda, DynamoDB, Glue, Athena, and Redshift.
  • Strong SQL skills and familiarity with data warehousing concepts.
  • Mandatory Skills: Hands-on experience with AWS data ingestion and storage.Proficient in Python and Spark.Strong SQL skills.
  • Preferred Skills:Experience with SQL Server, SSIS, SSRS, SSAS (MS BI).Familiarity with Power BI.Knowledge-based certification for foundational understanding of AWS Cloud.

    • Essential Responsibilities

  • Develop Maintain and support BI applications, dashboards, and reports using SQL and AWS data warehousing tools.
  • Collaborate with cross-functional teams to identify gaps and deliver actionable insights.
  • Monitor and recommend improvements for BI solutions to enhance performance.
  • Perform detailed data analysis and data cleansing.

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