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 solid 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
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
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.
Analytics Platform
Work on various analytics stack (Fabric/AWS/BigQuery/SAP/Snowflake etc.)
Implement scalable architectures (Lakehouse / medallion model).
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
Solid 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
Valuable 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.

📌 Data Engineer It & Digital Hyderabad (India)
🏢 Granules India
📍 India