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About the role
Role Overview : We are looking for a Data Engineer to design, develop, and optimize scalable data pipelines and analytics solutions on the data/warehousing platforms, with a strong focus on data-driven reporting and business intelligence. The role will support enterprise-wide analytics initiatives, enabling self-service BI, data-driven decision-making, and AI-ready data platforms aligned to the organizations analytics vision. Role & responsibilities 1. Data Engineering & Pipelines : Design and build ETL/ELT pipelines (Fabric/AWS/BigQuery/SAP/Snowflake etc.) Develop and maintain data models, data marts, and curated layers for analytics Ensure data quality, consistency, and performance across pipelines 2. Dashboard Development : Develop interactive dashboards and reports (Power BI/SAC/Qlik/Looker/Quicksight etc.) Build and optimize data models (star schema, measures, DAX etc.) Enable self-service analytics capabilities for business users. 3. Analytics Platform Work on various analytics stack (Fabric/AWS/BigQuery/SAP/Snowflake etc.) Implement scalable architectures (Lakehouse / medallion model). 4. Data Governance & Compliance Ensure adherence to: o Data governance o Access control and security standards o Pharma regulatory context (GxP, audit readiness where required). 5. Performance Optimization Optimize query performance and pipeline execution Handle large datasets and incremental loads efficiently Required Skills Core Technical Skills Strong experience in: oSQL (mandatory) oData modeling (dimensional modeling star/snowflake) oETL/ELT concepts Hands-on experience with: oDashboarding tool (Power BI/SAC/Qlik/Looker/Quicksight etc.) oData Lake / warehouse concepts Preferred Skills Experience with (any of these): oDatabricks (PySpark / Spark), AWS, Fabric, BigQuery, Datasphere, SAP BW etc. oPython for data engineering. Understanding of: o Lakehouse architecture o Data governance tools (e.g., Purview) Soft Skills Strong analytical and problem-solving capabilities Ability to translate business requirements into technical solutions Good communication skills (business + technical stakeholders) Nice to Have Exposure to AI/ML use cases or Copilot / GenAI-enabled analytics Experience working in Manufacturing industries, regulatory experience such as Pharma is added advantage. .
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