Responsibilities

- Designing and building Databricks-based data pipelines and transformation workflows for banking client environments
- Developing cloud-native data infrastructure and integration patterns across AWS, Azure, and multi-cloud platforms
- Translating business requirements into scalable data models, ingestion processes, and analytics-ready datasets
- Performing performance tuning, query optimization, and data warehouse troubleshooting to improve platform reliability
- Applying data quality, validation, and security practices across ingestion, storage, and transformation layers
- Supporting AI-driven analytics use cases by preparing curated data sets and enabling AI-human collaboration workflows
- Interpreting complex data issues, identifying root causes, and recommending practical technical solutions
- Reviewing deliverables from junior team members and providing guidance on data engineering tasks and methods
- Building client relationships by anticipating needs,



clarifying technical tradeoffs, and communicating progress clearly
- Applying banking domain knowledge to shape data modernization solutions that align with business objectives

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required

Role: Data Science & Analytics - Other, Industry Type: Financial Services, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: B.Tech / B.E. in Any Specialization, B.C.A. in Any Specialization PG: M.Tech in Any Specialization, MCA in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills AIAzure Data Engineer Azure DatabricksAgentic AIAzure Data FactoryAzure AI

📌 Azure Data Engineer (Hyderabad)
🏢 PwC
📍 Hyderabad