Data Engineer - Senior Associate
PwC (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 15–28 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data pipelines, data products, and analytics solutions using Spark, Python, SQL, and modern cloud data platforms.
- Develop cloud-native data solutions using Azure services and enterprise data platforms such as Databricks, Microsoft Fabric, Snowflake, or Sigma.
- Support AI-enabled data delivery applying machine learning, agentic AI frameworks, and platform-native AI capabilities to improve data access, analytics, and automation.
Minimum Requirements
- Bachelor’s degree or equivalent experience.
- 5 to 8 years of relevant experience in data engineering or related technology roles.
- Proficiency in Spark, Python, SQL, modern data engineering frameworks, and cloud platforms including Azure.
- Work Experience Required: 5 to 8 years in data engineering or related technology roles.
Ideal Candidate Profile
- Experience with agentic AI frameworks like LangChain, LangGraph, AutoGen, Semantic Kernel.
- Strong understanding of Large Language Models, prompt engineering, vector databases, semantic search, and AI solution evaluation.
- Demonstrated ability to translate complex business needs into reusable and standardized data engineering solutions, emphasizing AI-enabled product delivery.