Senior Associate – Data Engineering, Advisory

Overview

Senior Associate in Data Engineering within PwC's Advisory line of service, leading data engineering engagements that design and deliver scalable data pipelines and architectures.

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 understand data requirements and deliver high-quality data solutions.
• Ensure data quality, integrity, and security across all data engineering projects.
• Implement best practices for data engineering, including code reviews, testing, and documentation.
• Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.
• Work closely with stakeholders to understand business needs and translate them into technical requirements.
• Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.

What you'll need

• Experience: 5 to 8 years.
• Bachelor of Engineering (B.Tech / M.Tech / MCA / MBA listed in education qualification).
• Mandatory: strong experience with data engineering technologies, particularly Spark, PySpark, and Python.
• Proven track record of designing and building scalable data pipelines and architectures.
• Hands-on experience with data processing and transformation.
• Strong understanding of data warehousing concepts and ETL processes.
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Strong leadership and team management skills.
• Effective communication skills, both written and verbal.

Nice to have

• Experience with cloud-native data engineering on platforms such as Databricks and Azure/AWS.
• Familiarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR).
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Experience with data visualization tools and techniques.
• Familiarity with machine learning and data science concepts.
• Proven experience in data engineering or related roles.
• Industry certifications related to data engineering or cloud platforms.

Details

• Location: Bengaluru Millenia.
• Visa sponsorship: No.
• Government clearance required: No.
• Job posting end date: June 23, 2026.