Job Summary: Data Engineer role is centered on strong ELT, data pipelines, and SQL capabilities, with exposure to Starburst-based virtual data layer as an added advantage. Design and build scalable data pipelines and lightweight ELT frameworks to support analytics, reporting, and data products. Work across structured and semi-structured data sources, ensuring high data quality, performance, and governance. Exposure to data virtualization (e.g., Starburst/Trino) will be an added advantage.

Experience: 6 10 years. Strong experience in data engineering and pipeline development.

Key Responsibilities:

- Design and implement robust ELT/ETL pipelines for batch and near real-time processing
- Build and manage data ingestion frameworks from diverse sources (databases, APIs, files, spreadsheets/EUCs)
- Develop and optimize data pipelines and transformations using SQL and distributed processing frameworks
- Ensure data quality, validation, and lineage tracking across pipelines
- Support data product development by delivering curated, reusable datasets
- Work with Data Modelers to align pipelines with enterprise data models
- Implement data governance,



access controls, and compliance standards
- Leverage virtual data layers (Starburst/Trino) for federated access where applicable

Must-Have Skills:

- Strong experience in ELT/ETL, data pipelines, and data transformations
- Advanced SQL (query optimization, complex joins, performance tuning)
- Hands-on experience in Python / PySpark or equivalent
- Experience working with data warehouses / Lakehouse architectures
- Robust understanding of data ingestion patterns (batch + streaming basics)
- Knowledge of data quality, governance, and lineage concepts

Good-to-Have Skills:

- Exposure to Starburst / Trino / Presto or any data virtualization platform
- Understanding of data products / Data Mesh concepts
- Experience with cloud data platforms (AWS/Azure/GCP)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Maharashtra)
🏢 RARR Technologies
📍 Maharashtra