Description

Job Description

3+ years of professional experience in Data Engineering, specifically focusing on large-scale migrations.
Proven ability to write complex SQL, highly optimized queries and perform deep-dive data analysis.
Hands-on experience with AWS Redshift, S3, Glue, and Lambda.
Programming: Proficiency in Python (preferred) or Java/Scala for data manipulation and automation.
ETL/ELT Proficiency: Experience with modern ETL frameworks and legacy tools (e.g., Informatica, SSIS) to facilitate reverse engineering of undocumented legacy systems.
Data Modeling: Strong understanding of dimensional modeling, Star/Snowflake schemas, and data warehousing best practices.
 

Direct experience with Salesforce Data Loader, Bulk API, and architecting data flows between AWS and Salesforce.
Experience with QuickSight or Tableau to build validation dashboards that track migration progress and data parity 
Experience in Demonstrated success in reverse-engineering legacy analytical applications where documentation is sparse.
Experience in building AI agents to perform code refactoring and code migrations

Key Skills

Education

Any Graduate