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

📌 Azure Data Engineer (Bengaluru)
🏢 PwC
📍 Bengaluru