More jobs:
SSIS Developer/ETL Specialist
Job in
Tuscaloosa, Tuscaloosa County, Alabama, 35485, USA
Listed on 2026-01-01
Listing for:
ClinDCast LLC
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Engineer
Job Description & How to Apply Below
Job Title : SSIS Developer / ETL Specialist Role Overview
The SSIS Developer will design, develop, and maintain ETL workflows using SQL Server Integration Services (SSIS) to support data integration, transformation, and loading processes for enterprise data solutions.
Key Responsibilities ETL Development- Design and implement complex SSIS packages for data extraction, transformation, and loading (ETL) from multiple sources (DB2, Oracle, Flat Files, XML).
- Utilize advanced SSIS transformations such as Conditional Split, Fuzzy Lookup, For Each Loop, Multi Cast, and Script Components for data processing.
- Implement error handling, logging, and checkpoints for robust package execution.
- Tune SSIS packages and SQL queries for optimal performance.
- Apply best practices for SSIS performance, including parallelization, lookup caching, and bulk loading techniques.
- Schedule and monitor SSIS packages using SQL Server Agent.
- Configure credentials, proxy accounts, and permissions for secure execution.
- Perform debugging and troubleshooting of SSIS packages.
- Conduct backend database testing and validate data integrity.
- Work closely with BI teams to provide data for analytics and reporting.
- Support Power BI and SSRS reporting requirements when needed.
- 3+ years of experience in SSIS development and ETL processes.
- Strong knowledge of SQL Server, T‑SQL, and database objects (procedures, functions, views).
- Experience with SSIS performance tuning and troubleshooting.
- Familiarity with data warehousing concepts (Star Schema, Fact / Dimension tables).
- Exposure to Power BI and SSRS is a plus.
- Excellent analytical and communication skills.
- Knowledge of advanced SSIS components (CDC Splitter, DQS Cleansing, Fuzzy Grouping).
- Experience in handling large datasets and optimizing ETL workflows.
- Understanding of Agile methodologies.
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