Data Lake Engineer

This Data Lake Engineer role at Likewize in Chennai, India, requires 4+ years of experience in data warehousing and ETL processes, with at least 2 years in engineering data platforms using Python and Spark. Key responsibilities include developing, maintaining, and supporting BI applications, dashboards, and reports using SQL and AWS data warehousing tools. The engineer will collaborate with cross-functional teams to deliver actionable insights, monitor and improve BI solution performance, and conduct detailed data analysis and cleansing. Proficiency in AWS data ingestion and storage solutions like S3, Lambda, DynamoDB, Glue, Athena, and Redshift is essential.

Must Have

• Develop, maintain, and support BI applications, dashboards, and reports.
• Use SQL and AWS data warehousing tools.
• Collaborate with teams to identify gaps and deliver insights.
• Monitor and recommend BI solution performance improvements.
• Perform detailed data analysis and data cleansing.
• 4+ years in data warehousing and ETL processes.
• 2+ years engineering data platforms with Python and Spark.
• Proficiency in AWS data ingestion (DMS) and storage (S3, Lambda, DynamoDB, Glue, Athena, Redshift).
• Strong SQL skills.

Good to Have

• Implementation knowledge of large complex data platforms is preferred.
• Experience with SQL Server, SSIS, SSRS, SSAS (MS BI).
• Familiarity with Power BI.
• Knowledge-based certification for foundational understanding of AWS Cloud.

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.