• Data Discovery: Identify the SAP tables and fields used for existing Data Quality(DQ) rules & reports and locate the corresponding data in Databricks
• Data Validation: Validate data across all the layers(bronze, silver,etc) in Databricks for completeness, structure and availability of required fields
• DQ Rule Migration & BUILD: Select and build a set of existing DQ rules in Databricks as part of the PoC
• PoC Testing & Reconciliation: Execute the rules in Databricks and compare results with the existing DQ results, investigating and resolving differences
• End-to-End Rule Migration: Following the PoC, migrate / BUILD the agreed As-Is DQ rules to data bricks, including SQL logic, data mappings, rule outputs and required transformations
• Data & Rule Validation: Perform end-to-end validation of source data, DQ rules, results and defects in Databricks to ensure the migrated process produces expected outcomes
• DQ Reporting:



Support the development of DQ outputs, KPIs and dashboard reporting from Databricks, including validation of report results
• Documentation & BAU Handover: Document data mappings, DQ rules, validation results and migration processes
• SQL & Pyspark/Python knowledge
• Experience in Data Quality / Data Validation.
• Experience working with SAP data, preferably master data
• Valuable understanding of SAP tables
• Experience with Databricks platform
• Experience in data reconciliation and comparison between different data sources.
• Ability to translate DQ requirements/rules into technical SQL or Python logic
• Experience in DQ rule testing, defect analysis and troubleshooting

Degree Level

📌 Data Analyst (Bengaluru)
🏢 Diageo
📍 Bengaluru