DataBricks - Data Engineering

City: Bengaluru

State/Province: Karnataka

Posting Start Date: 3/11/26

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:

Role Purpose:-

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters

Job Description:-

We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering on Azure, with hands-on expertise in Databricks for big data processing and analytics.

Responsibilities

• Design, build, and maintain efficient and reliable data pipelines across Azure services and Databricks.
• Collaborate with data scientists and analysts to understand data needs and deliver scalable solutions.
• Develop and maintain ETL/ELT jobs for data ingestion, transformation, and integration.
• Implement best practices for data lake architecture, storage, and security in Azure.
• Integrate data from diverse sources into centralized repositories.
• Optimize and tune data pipelines for performance and scalability.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay updated on the latest industry trends and emerging technologies in data engineering.

• Proven experience as a Data Engineer in cloud environments.
• Strong proficiency in Azure services such as Azure Data Lake, Azure Synapse, Azure Data Factory, and Azure Databricks.
• Hands-on experience with Databricks IDE, PySpark, and service integrations.
• Proficiency in SQL and scripting languages such as Python, Scala, or Java.
• Familiarity with data modelling, ETL processes, and data warehousing concepts.
• Solid understanding of data management, governance, and security best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to thrive in a fast-paced and dynamic environment.