What are the responsibilities and job description for the Lead ETL Developer/ Analyst position at Shrive Technologies?
Must Have Skills
Strong SQL expertise for data analysis, reconciliation, and performance tuning.
Experience or understanding of the insurance distribution domain
Detailed Job Description
Essential Skills & Responsibilities
Build automated reconciliation framework with sampling, diffing & volume -ready checks
Build data quality framework to apply pro-active checks on data before .
Investigate and resolve data issues across upstream and downstream systems, ensuring seamless data flow
Write and optimize complex SQL queries to validate large datasets and troubleshoot issues
Design, develop, and enhance Informatica PowerCenter ETL mappings, workflows, and sessions for new development and ongoing enhancements.
Experience or understanding of the insurance distribution domain
Technical Skills
Strong SQL and Informatica skills (complex queries, joins, aggregations, large dataset validation)
Understanding of ETL processes, data pipelines, and data warehousing concepts
Experience with data validation, reconciliation, and profiling techniques
Experience designing and developing test plans and automated test cases
Strong SQL expertise for data analysis, reconciliation, and performance tuning.
- Experience: 5 Years
- Experience: 2 Years
Experience or understanding of the insurance distribution domain
Detailed Job Description
Essential Skills & Responsibilities
Build automated reconciliation framework with sampling, diffing & volume -ready checks
Build data quality framework to apply pro-active checks on data before .
Investigate and resolve data issues across upstream and downstream systems, ensuring seamless data flow
Write and optimize complex SQL queries to validate large datasets and troubleshoot issues
Design, develop, and enhance Informatica PowerCenter ETL mappings, workflows, and sessions for new development and ongoing enhancements.
- Experience: 5 Years
- Experience: 5 Years
- Experience: 2 Years
Experience or understanding of the insurance distribution domain
Technical Skills
Strong SQL and Informatica skills (complex queries, joins, aggregations, large dataset validation)
Understanding of ETL processes, data pipelines, and data warehousing concepts
Experience with data validation, reconciliation, and profiling techniques
Experience designing and developing test plans and automated test cases