Sr Associate – Data Engineering, Data & Analytics, Advisory

Overview

Lead data engineering engagements focused on building and managing data platforms, pipelines, and architectures to deliver business and enterprise insights for clients.

What you'll do

• Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
• Lead and manage data engineers, providing technical guidance, mentorship, and performance management.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Ensure data quality, integrity, and security across data engineering projects.
• Implement best practices including code reviews, testing, and documentation.
• Manage project timelines, resources, and budgets to ensure successful delivery.

What you'll need

• 5–8 years of experience in data services, data architecture, and data platforms.
• Mandatory certification in Spark 3.0.
• Strong hands-on expertise in Spark, PySpark, and Python.
• Proven track record building scalable data pipelines and architectures.
• Hands-on experience with data processing and transformation.
• Strong understanding of data warehousing concepts and ETL processes.

Details

• Location: Mumbai.
• Employment type: Full Time.
• Job posting end date: August 21, 2026.