Specialist - Data Engineering
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Key skills for this role
Role Overview
The Specialist, Data Engineering role is a hands-on QA tester and data engineer position within Schwab Data India.
The role validates, tests, and supports data engineering solutions for enterprise analytics and operational reporting.
The position partners with product owners, developers, and quality engineering teams to support reliable, scalable, and governed data pipelines.
Key Skills for This Role
Full Job Posting
Role Overview
The Specialist, Data Engineering role is a hands-on QA tester and data engineer position within Schwab Data India.
The role validates, tests, and supports data engineering solutions for enterprise analytics and operational reporting.
The position partners with product owners, developers, and quality engineering teams to support reliable, scalable, and governed data pipelines.
Key Responsibilities
- Review requirements, source-to-target mappings, and technical designs to identify validation needs and quality risks.
- Define test scenarios, edge cases, validation rules, and test coverage.
- Write SQL-based validations, reconcile source and target data, and validate transformation logic.
- Support functional and regression testing and resolve defects through root-cause analysis.
- Develop and maintain automation scripts and reusable test assets.
- Use AI-assisted tools responsibly to improve automation and test design efficiency.
- Coordinate testing and releases, track defects, and validate fixes.
- Maintain test documentation, validation evidence, QA assets, and engineering artifacts.
Required Experience
- At least 3 years of experience in data engineering testing, ETL validation, QA automation, or data warehouse environments.
- Experience with large-scale data testing or data engineering quality assurance initiatives.
- Hands-on ownership of automation development in an Agile delivery model.
- Experience with data warehouse and ETL testing, validation, or quality engineering.
- Experience with Google Cloud Platform and modern cloud-based data engineering practices.
- Proficiency in SQL, Python, and basic Unix or shell scripting.
- Experience using AI-assisted engineering tools for automation scripts and testing accelerators.
- Experience with Agile delivery tools such as Jira or Rally and software development lifecycle practices.
Preferred Skills
- Working knowledge of CI/CD and DevOps tools such as Bamboo, Bitbucket, GitHub, or GitHub Actions.
- IICS or PowerCenter experience is preferred for automation, reconciliation, and validation work.
Work Environment
- The role operates in a fast-paced, regulated enterprise environment and collaborates across global teams.
Benefits
- Benefits include compensation and retirement programs, paid time off, education assistance, medical insurance, health support, childcare reimbursement, transportation and meal benefits, and insurance coverage.
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