Data Lake Engineer

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.

R-1158