The Role
Leads QA activities for enterprise data engineering and ETL platforms. Owns test strategies, manual and automated testing, ETL and data transformation validation, complex SQL-based reconciliation, defect triage, release validation, and production support. Coordinates with stakeholders, mentors QA engineers, manages risks, reports testing status, and drives quality improvements across the software development lifecycle.
Summary Generated by Built In
About the Role:
We are looking for an experienced QA Lead with a strong background in Data Engineering and ETL testing to lead quality assurance activities for enterprise data platforms. The ideal candidate should have expertise in both manual and automation testing, possess excellent SQL skills for complex data validation, and have prior experience leading QA teams.
The role requires regular collaboration with onshore stakeholders, mentoring offshore team members, driving quality initiatives, and proactively managing risks throughout the project lifecycle.
Job requirements
Required Skills:
Preferred Skills
Job responsibilities
Key Responsibilities:
Benefits
Insurance
Career Development
Flexible Work hours
Learning Opportunities
Inclusive and collaborative work culture
#LI-DNP
We are looking for an experienced QA Lead with a strong background in Data Engineering and ETL testing to lead quality assurance activities for enterprise data platforms. The ideal candidate should have expertise in both manual and automation testing, possess excellent SQL skills for complex data validation, and have prior experience leading QA teams.
The role requires regular collaboration with onshore stakeholders, mentoring offshore team members, driving quality initiatives, and proactively managing risks throughout the project lifecycle.
Job requirements
Required Skills:
- 8–10 years of overall IT experience.
- Minimum 5+ years of experience in Data Engineering / ETL Testing.
- Strong experience in Manual and Automation Testing.
- Excellent SQL skills with experience writing complex queries, joins, aggregations, stored procedures, and data validation scripts.
- Experience validating large datasets and complex ETL/data transformation workflows.
- Hands-on experience working with enterprise data platforms and technologies such as:
- Apache Airflow
- Databricks
- Profisee (Master Data Management)
- Strong understanding of QA methodologies, defect lifecycle, and testing best practices.
- Excellent communication, analytical, and stakeholder management skills.
- Understand the business requirements and frame test strategy and test cases
- Reporting status of test execution to required stakeholders in a timely manner.
Preferred Skills
- Experience with Python for automation or data validation.
- Exposure to Azure services and cloud-based data platforms.
- Experience working in Agile/Scrum environments.
- Familiarity with CI/CD pipelines and DevOps practices.
- Lead and mentor QA engineers to ensure high-quality deliverables.
- Work closely with onshore counterparts and business stakeholders.
- Drive ownership, accountability, and quality across the team.
- Provide regular feedback to team members and support their professional growth.
- Communicate risks, dependencies, and project status effectively to all stakeholders.
Job responsibilities
Key Responsibilities:
- Lead the QA team and own end-to-end testing activities for data engineering solutions.
- Define, review, and execute test strategies, test plans, and test cases.
- Perform both Manual and Automation Testing across multiple releases.
- Validate ETL pipelines, data transformations, and business rules.
- Write and execute complex SQL queries for data validation, reconciliation, and root cause analysis.
- Collaborate closely with development teams to ensure quality throughout the SDLC.
- Coordinate regularly with onshore stakeholders and provide clear status updates.
- Mentor team members, review deliverables, and drive continuous improvement.
- Proactively identify risks, raise concerns early, and ensure timely resolution.
- Participate in defect triage, release validation, and production support activities when required.
Benefits
Insurance
Career Development
Flexible Work hours
Learning Opportunities
Inclusive and collaborative work culture
#LI-DNP
Skills Required
- 8-10 years of overall IT experience
- 5+ years of experience in data engineering or ETL testing
- Experience with manual and automation testing
- Strong SQL skills, including complex queries, joins, aggregations, stored procedures, and data validation scripts
- Experience validating large datasets and complex ETL or data transformation workflows
- Experience with Apache Airflow, Databricks, and Profisee
- Understanding of QA methodologies, defect lifecycle, and testing best practices
- Strong communication, analytical, and stakeholder management skills
- Ability to understand business requirements and create test strategies and test cases
- Experience reporting test execution status to stakeholders
- Experience with Python for automation or data validation
- Exposure to Azure services and cloud-based data platforms
- Experience in Agile or Scrum environments
- Familiarity with CI/CD pipelines and DevOps practices
- Experience leading and mentoring QA engineers
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The Company
What We Do
Synpulse is a global management consulting and technology partner focused on financial services. It helps financial institutions address major challenges through tailored solutions spanning strategy, implementation, innovation, and business transformation. Drawing on deep industry expertise and market-tested methodologies, the company bridges innovation and business, delivering effective solutions across clients’ value chains while emphasizing efficiency, collaboration, long-term partnerships, and measurable impact.
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