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Lead Data Engineer

Coimbatore, Ind-33, IN, 641004

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated
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What you’ll work on

Full posting
  • Build data pipelines and code for assigned modules on Databricks and Azure

  • Run testing and take part in user acceptance testing sessions

  • Help gather business requirements in workshops with client stakeholders

  • Participate in implementation and integration with other systems

  • Prepare project documentation, reports and well-structured code

From the employer’s posting
Develop and deliver code for assigned modules
Execute testing for assigned modules
Assist in conducting workshops and discussions with client stakeholders to gather business process requirements
Participate in implementation of software application and its integration with other systems
Prepare detailed reports and documentation on project specifications

What you’ll bring

All qualifications

Core experience

  • 8 to 15 years of experience
  • Databricks with PySpark, Spark SQL and Delta Lake
  • Azure Data Factory, ADLS Gen2 and Azure SQL
  • Synapse pipelines and modernization of legacy ETL workloads
  • Advanced SQL, data modeling and performance tuning

Preferred experience

  • Apache Airflow
  • Snowflake
  • Data governance experience
Qualification wording
Exp : 8+yrs to 15 yrs
Databricks (Highest Priority)
Azure Data Factory (ADF)
Modernization of legacy ETL workloads
Advanced SQL
Apache Airflow
Snowflake
Data Governance

Tools in this posting

  • SQL
  • Azure
  • Databricks
  • Delta Lake
  • Snowflake
  • Spark
  • Airflow
  • PySpark
Source — Tool mentions in context
- PySpark - Spark SQL - Delta Lake
- ADLS Gen2 - Azure SQL - Azure Security Patterns
- Synapse Spark - Synapse SQL Pools - Synapse Notebooks
Engineering · Advanced SQL - Data Modeling
- Lakehouse Architecture Azure Platform · Azure Data Factory (ADF)
Azure Platform · Azure Data Factory (ADF) - ADLS Gen2
- Azure SQL - Azure Security Patterns Migration Experience
- Data Governance Enterprise-scale Azure platform implementation ͏
Required Skills Databricks (Highest Priority) · Databricks
Databricks (Highest Priority) · Databricks - PySpark
- Unity Catalog - Databricks Workflows - Databricks Asset Bundles
- Databricks Workflows - Databricks Asset Bundles - Lakehouse Architecture
- Spark SQL - Delta Lake - Unity Catalog
· Apache Airflow - Snowflake - Data Governance
Preferred · Apache Airflow - Snowflake
· Databricks - PySpark - Spark SQL

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 2026 · 1 day ago
Recorded sightings
13
Last seen by us
Oct 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
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Job description

View original posting ↗

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.

Lead Data Engineer

Role Purpose

Exp : 8+yrs to 15 yrs

Location : Chennai

Np : Immediate to 30days

Required Skills

Databricks (Highest Priority)

·                     Databricks

  • PySpark
  • Spark SQL
  • Delta Lake
  • Unity Catalog
  • Databricks Workflows
  • Databricks Asset Bundles
  • Lakehouse Architecture

Azure Platform

·                     Azure Data Factory (ADF)

  • ADLS Gen2
  • Azure SQL
  • Azure Security Patterns

Migration Experience

·                     Synapse Pipelines

  • Synapse Spark
  • Synapse SQL Pools
  • Synapse Notebooks
  • Synapse Data Flows
  • Modernization of legacy ETL workloads

Engineering

·                     Advanced SQL

  • Data Modeling
  • GitLab CI/CD
  • Performance Tuning
  • Code Reviews

Preferred

·                     Apache Airflow

  • Snowflake
  • Data Governance

Enterprise-scale Azure platform implementation

͏

Areas of responsibility

 

͏

Gathering of requirements-Assist in conducting workshops and discussions with client stakeholders to gather business process requirements.

Coding and Configuration-"Develop and deliver code for assigned modules, in alignment with client requirements ensuring proper integration with system components.

͏

Testing and Trial Runs-"Execute testing for assigned modules, validate functionality across required interactions, and participate in User Acceptance Testing (UAT) sessions.

Implementation-Participate in implementation of software application and its integration with other systems to ensure stability.

Maintain Documentation-Prepare detailed reports and documentation on project specifications, activities, and status, while presenting information using flowcharts, layouts, diagrams, code comments, and clear, well-structured code.

͏

Stakeholder Collaboration-Collaborate with cross functional teams  to understand requirements, support development activities, check system compatibility, and ensure solutions meet expected standards.

 

Mandatory Skills: Enterprise Platform Engineering Backend .

 

Experience: 3-5 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.
Source details

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Location & working pattern

Coimbatore, Ind-33, IN, 641004

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