Overview
Senior Associate AI Data Engineer in PwC's Data, Analytics & AI specialism, designing and operating scalable, AI-driven data solutions on the Azure cloud platform.
What you'll do
- Design, develop and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
- Architect and implement cloud-based data solutions, integrating structured and unstructured data sources.
- Write clean, efficient and reusable code, primarily in Python, for cloud automation, data processing and orchestration.
- Build and optimize ETL workflows and ensure seamless data integration across platforms.
- Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems.
- Manage Azure-based storage solutions including Azure Data Lake and Blob Storage.
- Troubleshoot performance bottlenecks in data flows and ETL processes.
- Integrate advanced analytics and support BI use cases within the Azure ecosystem.
- Lead code reviews and ensure adherence to version control practices (e.g., Git).
- Contribute to the design and deployment of enterprise-level data warehousing solutions.
- Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.
- Build intelligent data pipelines and integrate machine learning models into production workflows.
- Use AI-powered development tools such as OpenAI Codex, Claude and Cursor as part of the daily workflow.
What you'll need
- Strong SQL skills.
- Hands-on experience with Azure Databricks.
- PySpark.
- Azure Blob Storage / Azure Data Lake Storage.
- Apache Spark (hands-on experience).
- Data modeling (normalization and denormalization).
- Data warehousing and BI tools integration.
- Git (version control).
- Building scalable ETL pipelines.
- Applied AI/ML frameworks.
- Strong expertise in Databricks, advanced SQL, Python programming and applied AI/ML frameworks.
- Hands-on experience with AI-powered development tools such as OpenAI Codex, Claude and Cursor.
- A solid understanding of MCP (Model Context Protocol) and agentic AI patterns.
- Proficiency in using MCP skills and agents to accelerate development.
- 4-7 years of experience.
- B.Tech, MCA, BCA or M.Tech; degree required: Bachelor of Engineering or Master of Engineering.
Nice to have
- Understanding of OLTP and OLAP environments.
- Experience with Kafka and Hadoop.
- Azure Synapse Analytics.
- Azure DevOps for CI/CD integration.
- Agile delivery methodologies.
- Ability to create custom skills and agents.
Details
- Location: Bangalore/Noida (ATS line: Bengaluru Millenia).
- Visa sponsorship: No.
- Government clearance required: No.
- Job posting end date: September 18, 2026.
Read the full description and apply on the company’s own careers page.