2. Assemble large, complex data sets that meet business requirements
3. Identify, design, and implement internal process improvements
4. Optimize data delivery and re-design infrastructure for greater scalability
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
7. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
8. Create data tools for analytics and data scientist team members
Skills Required:
1. Working knowledge of ETL on any cloud (Azure / AWS / GCP)
2. Proficient in Python (Programming / Scripting)
3. Good understanding of any of the data warehousing concepts (Snowflake / AWS Redshift / Azure Synapse Analytics / Google Big Query / Hive)
4. In-depth understanding of principles of database structure
5. Good understanding of any of the ETL technologies (Informatica PowerCenter / AWS Glue / Data Factory / SSIS / Spark / Matillion / Talend / Azure)
6. Proficient in SQL (query solving)
7. Knowledge in Change case Management / Version Control – (VSS / DevOps / TFS / GitHub, Bit bucket, CICD Jenkin)

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Job Title: QA Engineer – ETL & HL7 (Data Pipeline QA) Location: Remote – India (UK Working Hours)
Job Type: Full-Time Company: BigRio
About BigRio:
BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients
across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.
Job Description:
We are seeking a highly skilled and detail-oriented QA Engineer with strong experience in ETL testing and HL7 validation to join our growing data engineering team. This role will focus on data pipeline testing, ensuring data accuracy, quality, and integrity as it moves
across systems and services in a healthcare-focused environment.
Key Responsibilities:
· Design, develop, and execute test plans and test cases for ETL processes and data pipelines.
· Validate data transformations, data integrity, and completeness across source and target systems.
· Conduct end-to-end testing of HL7 messages and healthcare data flows.
· Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.
· Automate QA processes wherever feasible using appropriate scripting and tools.
· Perform root cause analysis and ensure timely defect resolution.
· Ensure compliance with data quality standards and healthcare regulations.
Required Qualifications:
· 4+ years of experience in QA with a focus on ETL/data pipeline testing.
· Hands-on experience with HL7 message formats and healthcare data exchange.
· Strong understanding of data warehousing concepts, data mapping, and validation techniques.
· Proficient in writing complex SQL queries for data validation.
· Experience working with large datasets in a cloud or hybrid environment.
· Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).
· Strong communication and documentation skills.
Nice to Have:
· Experience with cloud data platforms like AWS, Azure, or GCP.
· Prior experience in the healthcare or life sciences domain.
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Reporting to Tech Lead Directly
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