Job Description
Job Title:  DataBricks - Data Engineering
Req Id:  84883
City:  Bengaluru
State/Province:  Karnataka
Posting Start Date:  9/5/25
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

Key Responsibilities

  • Design scalable ETL/ELT data pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
  • Develop data ingestion workflows for structured and semi-structured data sources, including IoT streams and batch files.
  • Define and enforce data modeling standards for the raw, curated, and semantic layers in ADLS Gen2.
  • Create PySpark jobs and reusable transformation frameworks for cleansing, validation, and enrichment.
  • Oversee data partitioning, versioning, and metadata strategies to ensure high performance and maintainability.
  • Coordinate with ML engineers to support feature engineering pipelines and training datasets.
  • Mentor data engineers, conduct code reviews, and enforce best practices in CI/CD workflows.
  • Implement monitoring and alerting for data pipelines, including performance metrics and SLA tracking.

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Experience and Qualifications

  • 5+ years in data engineering roles on Azure data platforms.
  • Experience building large-scale data solutions processing real-time and batch workloads.
  • Strong understanding of data governance, quality, and security practices
  • Microsoft Azure Data Engineer Associate certification is a plus.

 

Primary Skills and Technologies


Azure Data Factory, Azure Databricks, Synapse Analytics, PySpark, Data Lake Gen2, ETL Frameworks, Data Modeling, Azure DevOps for Data CI/CD, Delta Lake.

 

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Deliver

No Performance Parameter Measure
1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT
2 Team Management Productivity, efficiency, absenteeism
3 Capability development Triages completed, Technical Test performance

 
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. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.
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