The Data Lake Engineer will develop and support BI applications, manage AWS data platforms, and perform data analysis and cleansing.
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.
Top Skills
Athena
AWS
Dms
DynamoDB
Glue
Lambda
Power BI
Python
Redshift
S3
Spark
SQL
SQL Server
Ssas
Ssis
Ssrs
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