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 robust 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 organization’s analytics vision.

Key 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:




Data governance
Access control and security standards
Pharma regulatory context (GxP, audit readiness where required)
Performance Optimization
Optimize query performance and pipeline execution
Handle large datasets and incremental loads efficiently

Required Skills

Core Technical Skills
Robust experience in:
SQL (mandatory)
Data modeling (dimensional modeling – star/snowflake)
ETL/ELT concepts
Hands-on experience with:
Dashboarding tool (Power BI/SAC/Qlik/Looker/Quicksight etc.)
Data Lake / warehouse concepts

Preferred Skills
Experience with (any of these):
Databricks (PySpark / Spark), AWS, Fabric, BigQuery, Datasphere, SAP BW etc.
Python for data engineering
Understanding of:
Lakehouse architecture
Data governance tools (e.g., Purview)

Soft Skills
Strong analytical and problem-solving capabilities
Ability to translate business requirements into technical solutions
Positive communication skills (business + technical stakeholders)

📌 Senior Data Engineer Hyderabad
🏢 Granules India
📍 Hyderabad