Senior Associate – JData Engineering, Advisory

Overview

Lead data engineering engagements in PwC's Data and Analytics practice, designing scalable data pipelines and architectures and managing a team of data engineers.

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

• 5 to 8 years of experience in data services, data architecture, and data platforms.
• Mandatory: Spark 3.0 certification and/or Databricks Advanced/Professional Architect certification.
• Strong 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.
• Education: B.Tech / M.Tech / MCA / MBA, with Master of Engineering or Bachelor of Engineering as the required degree fields.

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: Bangalore (Bengaluru Millenia).
• Employment type: Full time.
• Visa sponsorship: not available.
• Government clearance: not required.
• Job posting end date: June 1, 2026.