Develop and maintain automated quality controls for data freshness, completeness, duplicates, and agreed business rules, using approved AI-assisted tools where appropriate and independently validating their outputs.
Implement approved mappings, reference data, and transformation logic through source-controlled, reviewed, and tested releases, including regression testing, recovery planning, and UAT handoffs.
Maintain data lineage, technical documentation, runbooks, reconciliation evidence, and incident records to support repeatable operations, knowledge transfer, and effective escalation.
Work within established architecture, security, access, and release-governance boundaries, coordinating with UAT/Ops, platform leads, and designated data or security owners.
Your skills & expertise (Minimum qualifications)
7+ years of relevant professional experience, with a Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
Build and maintain approved OTC data loads, table replications, transformations, and governed data models or views, supporting the Snowflake-to-Fabric transition and data-source consolidation.
Monitor data pipelines and scheduled processes, troubleshoot data-quality and pipeline issues, and perform source-to-target SQL reconciliations across legacy, Snowflake, and Fabric environments.
Develop and maintain automated quality controls for data freshness, completeness, duplicates, and agreed business rules, using approved AI-assisted tools where appropriate and independently validating their outputs.
Implement approved mappings, reference data, and transformation logic through source-controlled, reviewed, and tested releases, including regression testing, recovery planning, and UAT handoffs.
Maintain data lineage, technical documentation, runbooks, reconciliation evidence, and incident records to support repeatable operations, knowledge transfer, and effective escalation.
Work within established architecture, security, access, and release-governance boundaries, coordinating with UAT/Ops, platform leads, and designated data or security owners.
Additional qualifications (Nice to have)
Experience with Snowflake, Microsoft Fabric, SQL-based data pipelines, replication, and warehouse or lakehouse transformations.
Familiarity with governed semantic models, GitHub, automated testing, and data-observability tools.
Knowledge of OTC data and experience using approved AI-assisted development tools.
Familiarity with Business Objects, Datameer, Microsoft Access, Tableau, Power BI, or Streamlit, particularly for tracing legacy-to-target data dependencies.
Work location
Bangalore - Hybrid.
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