Job Description:

Strong hands-on expertise in SQL Server (T-SQL) and relational database design, with solid

experience in data migration and conversion projects.

- Design and build ETL/ELT pipelines to convert data between source and target systems,

following the mapping and transformation logic defined by the Architect.

- Good working knowledge of data mapping, source-to-target transformation logic, and

reconciliation techniques for large datasets.

- Collaborate with application engineers, business analysts, and QA teams to implement

conversion scope and cutover plans.

- Hands-on experience writing and optimizing SQL Server stored procedures, indexes, and

queries for high-volume batch processing.

- Proficiency with ETL tooling such as SSIS, Azure Data Factory, or equivalent, along with

scripting (PowerShell/Python) for data validation and automation.

- Positive understanding of data quality, de-duplication, cleansing, and validation techniques.
- Working knowledge of cloud data platforms (Azure SQL, Azure Synapse, or AWS RDS/Redshift)





and hybrid on-prem-to-cloud migration patterns.

- Awareness of data security and compliance considerations during migration, including

encryption at rest/in transit and access controls.

- Ability to execute rollback, dry-run, and phased/parallel-run cutover activities under the

guidance of the Architect.

- Ability to maintain data lineage, mapping documentation, and audit trails for validation and

sign-off purposes.

- Strong debugging and troubleshooting skills, with experience resolving issues in large batch

conversion jobs.

- Proficiency in writing unit/integration tests and validation scripts for data reconciliation (row

counts, checksums, referential integrity).

- Experience with version-controlled database change management (Flyway, Liquibase, or

equivalent) and CI/CD for database deployments.

- To adhere to ISMS Policies and Procedures

📌 Lead ETL Developer (Kochi)
🏢 Vme Vhire Solutions
📍 Kochi