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 organization’s analytics vision.

Key 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

1. 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

1. Analytics Platform

- Work on various analytics stack (Fabric/AWS/BigQuery/SAP/Snowflake etc.)
- Implement scalable architectures (Lakehouse / medallion model)

1. Data Governance & Compliance





- Ensure adherence to:
- Data governance
- Access control and security standards
- Pharma regulatory context (GxP, audit readiness where required)

1. 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
- Good communication skills (business + technical stakeholders)

📌 Senior Data Engineer (Hyderabad)
🏢 Granules India
📍 Hyderabad