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:
Solid 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

Valuable-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