Back
Metro location, popular Data Engineer title, and broad required stack raise candidate competition.
Core data engineering skills (SQL, Python, AWS) are highly transferable across industries.
Mandatory Informatica, SSIS and SSRS skills create moderately strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable ETL/ELT pipelines using SSIS, Informatica, and AWS data services.
Develop and optimize SQL Server databases including complex queries, stored procedures, and performance tuning.
Write scalable Python scripts for data processing and automation; monitor and troubleshoot data workflows and production issues.
Strong experience with SQL Server, TSQL, and performance tuning.
Hands-on experience with SSIS and Informatica PowerCenter mandatory.
Proficiency in Python and familiarity with AWS data services (S3, Lambda, Glue).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data warehousing concepts and ETL processes with clear ownership of designing and optimizing data pipelines.
Comfortable working with both on-premise SQL Server technologies and cloud-based AWS services.
Familiar with version control (Git) and enterprise reporting tools, preferably with exposure to financial or regulatory reporting systems.