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Data Engineer


Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer
Posted: 30 October 2026 (6 hours ago)
Application Deadline: 27 January 2027
Vacancies: 1 Vacancy

Job Summary

Job Title : Data Engineer

Experience : 5 TO 10 Years

Location : Bangalore

Roles & Responsibilities

  • Oversee the entire data infrastructure to ensure scalability operation efficiency and resiliency
  • Mentor junior data engineers within the organization
  • Design develop and maintain data pipelines and ETL processes using Microsoft Azure services (e.g. Azure Data Factory Azure Synapse Azure Databricks Azure Fabric)
  • Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g. Azure Data Lake Storage Gen 2 & Azure Blob storage)
  • Collaborate with data scientists data analysts data architects and other stakeholders to understand data requirements and deliver high-quality data solutions
  • Optimize data pipelines in the Azure environment for performance scalability and reliability
  • Ensure data quality and integrity through data validation techniques and frameworks
  • Develop and maintain documentation for data processes configurations and best practices
  • Monitor and troubleshoot data pipeline issues to ensure timely resolution
  • Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge
  • Manage the CI/CD process for deploying and maintaining data solutions

Requisites

  • Bachelors degree in Computer Science Engineering or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals
  • Relevant years of proven experience as a Data Engineer or similar role dealing with data and ETL processes. 5 - 10 years of experience
  • Strong knowledge of Microsoft Azure services including Azure Data Factory Azure Synapse Azure Databricks Azure Blob Storage and Azure Data Lake Gen 2
  • Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g. SQL Server PostgreSQL)
  • Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g. CI/CD version control testing)
  • Experience with big data technologies (e.g. Spark)
  • Strong problem-solving skills and attention to detail Excellent communication and collaboration skills

Required Skills:

Data EngineeringPythonAWSETLInfrastructure