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FW: Shiv Chandra Requirment - EDI QA Analyst - Remote

 

From: shiv-chandra-c2c-requirement@googlegroups.com <shiv-chandra-c2c-requirement@googlegroups.com>On Behalf OfSid K <c2cposition99@gmail.com>
Sent: Thursday, July 17, 2025 2:58:19 AM (UTC+05:30) Chennai, Kolkata, Mumbai, New Delhi
Subject: Shiv Chandra Requirment - EDI QA Analyst - Remote

Hi Folks,

My client is looking for EDI QA Analyst for a 6 Month Contract position in Remote


Position: EDI QA Analyst
Location:  Remote
Duration: 6 Month Contract


Key Responsibilities:

Work in an agile environment with a development team to:

Design, develop, and maintain comprehensive test plans and test cases for scalable data pipelines.

Implement automated testing solutions

Write efficient SQL queries to validate data extraction, transformation, and loading processes.

Collaborate with product management and analysts to understand data requirements and ensure quality assurance.

Optimize and troubleshoot data pipelines for performance and reliability.

Ensure data quality and integrity through comprehensive testing and validation processes.

Follow DevOps principles and use CI/CD to deploy and operate automated testing frameworks.

 

Required Skills:

Knowledge of software development patterns and best practices in quality assurance.

Experience with ETL/ELT processes and data pipeline testing for various EDI transactions (835, 837, 834, 820, 276/277, 270/271, 999/997).

Strong experience with SQL and database management.

Proficiency developing using version control, automate testing, and deployments using git-based tools like GitHub and GitHub Actions.

 

Preferred Skills:

Knowledge of/exposure to Healthcare EDI transactions.

Understanding of testing methodologies for data pipelines, including unit testing, integration testing, and end-to-end testing.

Knowledge of data governance and data security best practices.

Familiarity with data warehousing concepts and tools.

Experience with cloud platforms (e.g., Azure, AWS, GCP) with Azure preferred.

Knowledge of big data technologies (e.g., Microsoft Fabric, Azure Synapse, Lakehouse, Databricks).

Familiarity with advanced data orchestration tooling and development frameworks like dbt or Airflow.

Experience working in a healthcare-related industry.

Thanks
Sid

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