IN_Senior Associate_AI Data Engineer -Azure_GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable AI-driven data pipelines and cloud-based data solutions on Azure using Databricks, Data Factory, and other cloud-native tools.
- Integrate machine learning models into production workflows and build intelligent data pipelines leveraging applied AI/ML frameworks and generative AI capabilities.
- Lead code reviews, manage Azure storage solutions, and troubleshoot ETL performance issues ensuring secure and efficient data processing.
Minimum Requirements
- 4-7 years of relevant work experience in data engineering with AI/ML frameworks and Azure technologies.
- Strong skills in SQL, Azure Databricks, PySpark, Azure Blob Storage/Azure Data Lake Storage, and Apache Spark (hands-on).
- Bachelor's or Master's degree in Engineering (B.Tech, MCA, M.Tech) in a relevant field.
- Proficiency in Python programming and experience with building scalable ETL pipelines on Azure cloud platform.
Ideal Candidate Profile
- Experienced in designing and managing cloud-based data architectures with a focus on AI-driven automation and generative AI integration.
- Familiar with advanced AI development tools such as OpenAI Codex, Claude, Cursor and with concepts like Model Context Protocol (MCP) and agentic AI patterns.
- Capable of working in an Agile delivery environment and comfortable with CI/CD tools like Azure DevOps and version control systems such as Git.