Lead Big Data Engineer | Apply Now

About the role

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data solutions that support enterprise-wide analytics and business intelligence initiatives. The role requires deep expertise in Big Data technologies, cloud platforms, and modern data engineering practices.

What you'll do

• Design, develop, and maintain robust ETL/ELT pipelines on Azure cloud and on-premises platforms for batch and real-time data processing
• Build scalable data ingestion and processing frameworks to handle structured, semi-structured, and unstructured datasets
• Solve complex business problems by leveraging data engineering best practices and advanced technologies
• Monitor, optimize, and troubleshoot data pipelines to ensure high availability, reliability, performance, and scalability
• Ensure adherence to data quality, governance, security, privacy, and compliance standards

What you need

• 12–14 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
• Linux
• CI/CD
• Shell scripting
• MongoDB
• Git