Azure Data Engineer, Wipro

Data Engineer
India, Hyderabad
October 14, 2026
Full Time

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Job Description

Wipro is hiring an Azure Data Engineer to develop and optimize cloud-based data solutions using Azure Databricks, PySpark, SQL, Python, and Azure Data Factory. The role focuses on building ETL/ELT pipelines, participating in solution architecture, code review, problem-solving, deployment management, and improving efficiency in data engineering and application integration projects.

Experience: 5–8 years

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Responsibilities

  • Coordinate with project teams throughout software development and ensure alignment across development activities.
  • Identify technical dependencies and support teams in addressing application-related requirements effectively.
  • Collect requirements of modules, document dependencies, and assist in application solution design process.
  • Check developed code, solve technical problems, and maintain uniform coding standards for assigned modules.
  • Analyze root causes, perform application integration, and optimize processes for improved efficiencies.

Requirements

  • Bring in 5-8 years of work experience in the field of data engineering or any technology-related environment.
  • Should have a good understanding of Azure Databricks, PySpark, SQL, and Python to process data.
  •  Experience with Azure Data Factory for creation and optimisation of ETL pipeline.
  • Should have knowledge about Azure Synapse, GitHub and Azure DevOps for processing data.
  • Ability to understand and document business requirements across multiple processes, modules, and dependencies. 

Preferred Qualifications

  • Experience with hands-on work related to data pipelines at an enterprise level using Azure Databricks, PySpark and Azure Data Factory.
  • Experience with hands-on optimization of SQL queries and transformations in Python for performance.
  • Hands-on experience working with GitHub and Azure DevOps for code versioning and deployments.
  • Experience in providing assistance in solution design, the software development lifecycle process, and the application implementation process.
  • Experience in troubleshooting, documentation, integration, performance tuning, and process improvement.

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