Job Description
Job Title:  DataBricks - Data Engineering
City:  Bengaluru
State/Province:  Karnataka
Posting Start Date:  10/22/26
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 over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Job Description

Role Overview and Purpose

This Technical Lead L1 position at Wipro Technologies within the TS - Applied AI & Data unit is designed for an experienced professional specializing in DataBricks and data engineering. The role is pivotal in driving the development, review, and refinement of module-specific application solutions that align with business goals and technological standards.

The successful candidate will lead efforts to craft scalable, efficient code, support cross-functional teams through expert technical guidance, and implement robust solutions that meet evolving market and client needs. This role demands a blend of hands-on technical acumen, analytical problem-solving, and collaborative leadership to ensure seamless integration and deployment of data solutions.

In this capacity, the individual will operate at the intersection of software development life cycle phases—spanning requirement analysis, design, coding, testing, and deployment—ensuring deliverables are stable, well-documented, and aligned with project roadmaps.

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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. 

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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

Governance & Quality

·        Row-Level Security

  • Data Masking
  • Data Lineage
  • Data Quality Frameworks

Cloud & DevOps

·        AWS/ GCP / Azure

  • Git , CI/CD
  • Terraform (nice to have)

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Qualifications and Key Competencies

  • Extensive experience (5-8 years) in data engineering with a strong emphasis on DataBricks platform technologies.
  • Proficient knowledge of software development lifecycle processes with hands-on experience in coding, testing, and deploying scalable data applications.
  • Strong analytical and problem-solving skills focused on root cause investigations and resolution in complex distributed systems.
  • Exceptional communication skills enabling effective collaboration across technical and non-technical teams.
  • Demonstrable ability to work in a client-centric environment, driving passionate, results-oriented execution.
  • Value-driven approach fostering learning agility, problem-solving, decision-making, and cross-team collaboration.

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Why Join Wipro Technologies?

Wipro Technologies is at the forefront of digital innovation, spearheading transformative solutions across industries. As part of our Applied AI & Data group, you will contribute to cutting-edge projects that shape the future of technology, working alongside passionate professionals dedicated to excellence and reinvention.

We offer an inclusive, dynamic workplace that empowers individuals to drive their career progression and cultivate skills within a supportive learning environment. Here, your expertise in DataBricks and data engineering will be leveraged to its full potential, driving meaningful impact for clients and communities.

Join us to be part of a forward-thinking culture where purpose fuels innovation, and every team member's contribution is valued in building the modern Wipro experience.

 

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.
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