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ETL Developer (SQL_Python_US healthcare)

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Hybrid

ETL Developer (SQL_Python_US healthcare)

Tanisha Systems

ETL Developer (SQL_Python_US healthcare)

Skills

SQL QueriesData MiningPythonGitTalendAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

14 August 2026

What they need


ETL Developer with strong SQL & Python (US HealthCare domain)

We are looking for a motivated and detail-oriented ETL Developer with strong SQL expertise and hands-on experience with ETL tools such as Talend or Informatica. The ideal candidate should be a quick learner, take full ownership of assigned tasks, and have a solid understanding of data processing workflows.

Key Responsibilities

  • Design, develop, and maintain ETL processes and data pipelines.
  • Work with large datasets and ensure efficient data extraction, transformation, and loading.
  • Write optimized and complex SQL queries for data manipulation and performance tuning.
  • Develop and maintain scripts using Python for data processing and automation.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Monitor and troubleshoot ETL jobs, ensuring data accuracy and reliability.
  • Ensure documentation, version control, and adherence to best practices.
  • Take complete ownership of assigned tasks and deliver within timelines.

Required Skills & Experience

  • Strong understanding of ETL concepts and processes.
  • 2-3 years of experience with ETL tools such as Talend or Informatica.
  • 56 years of hands-on experience in SQL, including writing complex queries and performance optimization.
  • 23 years of experience in Python for data processing or automation.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and take ownership of work.
  • Quick learner with the ability to adapt to new technologies and tools.

Preferred Qualifications

  • Experience working with large-scale data systems.
  • Familiarity with cloud platforms (Azure preferred).
  • Exposure to data warehousing concepts.

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