Back
Popular senior data engineering role, metro location, and broad skillset requirements increase competition.
SSIS and Microsoft SQL Server specialization limits portability somewhat, but data engineering skills remain transferable.
Explicit 6–10 years and mandatory SSIS/SQL Server expertise make shortlisting stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, deploy, and manage enterprise-grade ETL solutions using Microsoft SQL Server Integration Services (SSIS).
Administer SSIS packages and SQL Server Agent jobs, monitor executions, troubleshoot failures, and perform environment migrations across Dev, QA, and Prod.
Optimize performance of SSIS packages and SQL queries; ensure data quality, implement logging, error-handling, and provide L2/L3 production support for ETL processes.
6–10+ years of SSIS development and administration experience.
Strong expertise in Microsoft SQL Server (2012/2016/2019/2022) with advanced T-SQL programming skills.
Bachelor's degree in Computer Science, IT or related field.
Experience with Data Warehousing concepts including ETL, OLAP, and dimensional modeling.
Experienced in large-scale enterprise data environments managing end-to-end SSIS ETL pipelines and administration.
Proficient in performance tuning and troubleshooting complex ETL workflows with stakeholder communication skills.
Familiarity with cloud integration tools (preferably Azure Data Factory), version control systems (Git), and DevOps/CICD pipelines for automated deployments.