Part-time

ETL Integration Engineer

₹40000 - ₹60000 / month Ahmedabad, Indore, Lucknow
Posted OnJun 10, 2026
Education---
CompanyPrimeTech Services
Experience5+ years

Role Overview

We are seeking a skilled ETL Integration Engineer to join our dynamic team. The ideal candidate will have a strong background in data integration and ETL processes. You will be responsible for designing, developing, and maintaining robust ETL solutions to support data-driven decision making across our organization. Your expertise will contribute to improving data quality and optimizing performance while collaborating with various stakeholders.

Key Responsibilities:

  • Design and develop ETL workflows to extract, transform, and load data from various sources.
  • Collaborate with data analysts and stakeholders to define data requirements and integration specifications.
  • Monitor and optimize ETL processes for performance and reliability.
  • Implement error handling and data validation measures throughout ETL pipelines.
  • Create and maintain documentation for established ETL processes and procedures.
  • Troubleshoot and resolve issues related to data integration and pipeline performance.
  • Conduct regular audits of data quality and ETL processes to ensure compliance with standards.
  • Work with database teams to ensure data models are optimized for ETL processes.
  • Participate in code reviews to uphold best practices and quality in ETL development.

Required Skills:

  • Strong expertise in ETL tools such as Informatica, Talend, or SSIS.
  • Proficient in SQL for data querying and manipulation.
  • Knowledge of data warehousing concepts and best practices.
  • Experience with data modeling and database design.
  • Familiarity with programming languages like Python or Java for automation tasks.
  • Understanding of cloud platforms and services, especially AWS or Azure.
  • Ability to troubleshoot and debug ETL processes effectively.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork skills.

Preferred Skills:

  • Experience with NoSQL databases.
  • Knowledge of Big Data technologies like Hadoop or Spark.
  • Familiarity with Agile methodologies.
  • Experience with data visualization tools.
  • Ability to work in a fast-paced environment.

How to Apply

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