Job highlights

- 5-8 years experience with Databricks Lakehouse, PySpark, Delta Lake, Unity Catalog expertise
- Design and develop scalable data pipelines, build CDC and streaming ingestion frameworks, implement Medallion Architecture, develop governance and observability solutions, optimize Databricks workloads, enable self-service analytics, and collaborate with cross-functional teams

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With nearly 245,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world. Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law. Website http://www.wipro.com

Role Purpose The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure secure, well-documented deliverables that meet business objectives.

Job Role:-

About the Role

Highly skilled Senior Databricks Platform Engineer to help build and scale a next-generation data platform supporting analytics, AI, governance, and self-service data consumption.



The role focuses on engineering reusable platform capabilities, enabling enterprise-scale governance, improving observability, and driving operational excellence across the Databricks ecosystem.

Key Responsibilities

Design and develop scalable data pipelines using Databricks, PySpark, SQL, and Delta Lake.

- Build CDC, batch, and streaming ingestion frameworks for enterprise-scale workloads.
- Implement and manage Medallion Architecture (Bronze, Silver, Gold).
- Develop governance solutions using Unity Catalog, including row-level security, data masking, and fine-grained access controls.
- Build and maintain Data Quality, Monitoring, and Observability frameworks.
- Implement CI/CD pipelines using Databricks Asset Bundles (DABS), Git, and Infrastructure as Code.
- Optimize Databricks clusters, SQL Warehouses, and workloads for performance and cost efficiency.
- Enable self-service analytics through semantic layers, metric views, governed datasets, and certified data products.
- Partner with platform, security, analytics, and business teams to drive adoption of Databricks capabilities.
- Participate in architecture discussions, platform modernization initiatives, and stakeholder workshops.

Skills:-

Required Skills

Databricks & Lakehouse

Databricks Lakehouse Platform

- Delta Lake
- Unity Catalog
- Databricks Workflows
- Auto Loader
- Structured Streaming
- Databricks SQL

Data Engineering

PySpark

- Advanced SQL
- Data Modeling
- ETL/ELT Frameworks
- CDC Architectures




- Real-Time Data Processing

Nice to have: - Preferred Skills (These are not a must, nice to have)

Scala

- dbt
- Kafka
- Airflow
- GenAI / AI Agents
- Enterprise Observability Solutions

Mandatory Skills: DataBricks - Data Engineering . Experience: 5-8 Years .

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Key Responsibilities

Design and develop scalable data pipelines using Databricks, PySpark, SQL, and Delta Lake.

- Build CDC, batch, and streaming ingestion frameworks for enterprise-scale workloads.
- Implement and manage Medallion Architecture (Bronze, Silver, Gold).
- Develop governance solutions using Unity Catalog, including row-level security, data masking, and fine-grained access controls.
- Build and maintain Data Quality, Monitoring, and Observability frameworks.
- Implement CI/CD pipelines using Databricks Asset Bundles (DABS), Git, and Infrastructure as Code.
- Optimize Databricks clusters, SQL Warehouses, and workloads for performance and cost efficiency.
- Enable self-service analytics through semantic layers, metric views, governed datasets, and certified data products.
- Partner with platform, security, analytics, and business teams to drive adoption of Databricks capabilities.
- Participate in architecture discussions, platform modernization initiatives, and stakeholder workshops.

📌 DataBricks - Data Engineering (Bengaluru)
🏢 Wipro
📍 Bengaluru