Senior Big Data Engineer - I | Apply Now

About the role

The Data Engineer is responsible for designing, building, and delivering scalable data engineering solutions that enable advanced analytics, reporting, and business decision-making across the organization. This role plays a critical part in the data and analytics lifecycle by developing production-grade data platforms and pipelines leveraging Big Data technologies and cloud-based solutions.

What you'll do

• Design, build, and maintain robust ETL/ELT pipelines across Azure cloud and on-premises environments for batch and real-time data processing
• Develop scalable solutions to collect, ingest, transform, and store large volumes of structured and unstructured data
• Independently lead solution architecture, technical design, effort estimation, and implementation planning for data engineering initiatives
• Monitor, optimize, and troubleshoot data platforms and pipelines to ensure reliability, scalability, availability, and performance
• Implement and enforce data quality, governance, security, compliance, and operational standards

What you need

• 8–10 yrs of experience
• SQL
• ETL
• Python
• Spark
• Azure Data Factory
• Hadoop
• B.Sc or B.Tech or B.E. or BCA

Good to have

• LLMs
• Kafka
• CI/CD
• MongoDB
• Shell scripting
• Git