Job 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.