Senior Associate – Data Engineering, Data & Analytics, Advisory

Overview

Senior Associate role focused on leading data engineering engagements within Data & Analytics advisory services. The position emphasizes designing scalable data pipelines and architectures using Spark/PySpark/Python and delivering secure, high-quality data solutions.

What you'll do

• Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
• Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.
• Collaborate with cross-functional teams to gather data requirements and deliver data solutions.
• Ensure data quality, integrity, and security across data engineering projects.
• Implement data engineering best practices including code reviews, testing, and documentation.
• Stay current on trends and technologies in data engineering and cloud computing.

What you'll need

• 5–8 years of experience specializing in data services, data architecture, and data platforms.
• Hands-on expertise in Spark, PySpark, and Python.
• Strong understanding of data warehousing concepts and ETL processes.
• Proven experience designing and building scalable data pipelines and architectures.
• Strong leadership and team management skills.
• Effective communication skills in written and verbal form.

Details

• Location: Bengaluru Millenia.