Senior QA Engineer

Posted 5 Days Ago
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Chennai, Tamil Nadu
Senior level
Software
The Role
The role involves developing data quality assurance strategies, designing and executing data testing plans, maintaining ETL pipelines in Azure Data Factory, and utilizing Azure Synapse for data processing. Key responsibilities include ensuring data integrity, automating testing frameworks, and collaborating with data teams to meet quality standards.
Summary Generated by Built In

Orion Innovation is a premier, award-winning, global business and technology services firm.  Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.  We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Job Title: Senior Quality Engineer (Database Testing) Experience Level: 8+ Location: Chennai( 5 days work from Office ) Shift Timings : 02:00 PM to 10:00 PM

 Summary: We are seeking an experienced Quality Engineer (QE) with a strong background in Data Engineering, specifically with Azure Data Factory, Data Vault, and Azure Synapse. The ideal candidate will have at least 8 years of experience in quality engineering and data engineering practices, with a proven track record of ensuring data quality, integrity, and consistency across complex data pipelines and data warehousing solutions.

 Key Responsibilities:

1. Data Quality Assurance: o Develop and implement comprehensive data quality assurance strategies and frameworks. o Design and execute test plans, test cases, and test scripts for data validation and ETL processes. o Ensure data accuracy, consistency, and completeness in data integration and transformation processes.

2. Azure Data Factory: o Develop and maintain ETL pipelines using Azure Data Factory. o Conduct performance tuning and optimization of data pipelines. o Monitor and troubleshoot data integration workflows.

3. Data Vault Methodology: o Implement and maintain Data Vault modeling techniques for data warehousing. o Ensure the scalability and flexibility of data warehouse solutions using Data Vault. o Collaborate with data architects and modelers to design robust and efficient data models.

4. Azure Synapse Analytics: o Utilize Azure Synapse Analytics for big data processing and advanced analytics. o Ensure seamless integration between Azure Synapse and other Azure data services. o Perform data profiling, data cleansing, and data enrichment tasks.

5. Automation and Tooling: o Develop automated testing frameworks for data validation and ETL processes. o Implement CI/CD pipelines for data integration and deployment. o Utilize tools like PowerShell, Python, or other scripting languages for automation.

6. Collaboration and Communication: o Work closely with data engineers, data scientists, and business analysts to understand data requirements and ensure quality. o Provide clear and concise documentation of data quality processes and findings. o Conduct training and knowledge-sharing sessions on data quality best practices.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• At least 8 years of experience in quality engineering and data engineering.

• Proficiency in Azure Data Factory, Data Vault, and Azure Synapse.

• Strong understanding of data warehousing concepts and ETL processes.

• Experience with data modeling techniques and tools.

• Proficiency in SQL and other query languages.

• Experience with data profiling, data cleansing, and data enrichment.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Experience with automation tools and scripting languages.

Preferred Qualifications:

• Master’s degree in Computer Science, Information Technology, or a related field.

• Certifications in Azure data services or related technologies.

• Experience with big data technologies and frameworks. 

• Familiarity with other Azure services such as Azure Databricks, Azure Data Lake, and Power BI.

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

  • What information we collect during our application and recruitment process and why we collect it;
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Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.


Top Skills

Azure Data Factory
Python
SQL
The Company
Chennai
3,410 Employees
On-site Workplace
Year Founded: 1993

What We Do

Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America.

For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.​

Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise.​

Our business has more than tripled over the last three years. ​

We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.

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