Schwab Description
At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.
Schwab India Description
Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.
Role Description
The Sr. Manager, Data Engineering role is a hands-on QA tester / data engineer position within Schwab Data India focused on validating, testing, and supporting data engineering solutions that enable enterprise-wide analytics and operational reporting. This role partners closely with product owners, developers, and quality engineering teams to ensure reliable, scalable, and well-governed data pipelines and platform capabilities aligned with Schwab standards.
As part of theOneSchwab/OneGCCmodel, this QA tester / data engineer contributes to high-quality delivery through strong testing practices, data validation, automation, defect analysis, operational discipline, and close collaboration across global teams. The role is ideal for a technologist who enjoys ensuring data quality and delivery reliability in a fast-paced, regulated enterprise environment.
Key Responsibilities
Lead the team technically to resolve issues and eliminate roadblocks for execution and delivery
- Requirements & Design Review: Review business requirements, source-to-target mappings, and technical design documents to identify validation needs, test coverage gaps, and quality risks, and provide timely engineering feedback.
- Test Planning & Scenario Coverage: Review requirements, source-to-target mappings, and technical designs to identify test scenarios, edge cases, validation rules, and quality risks.
- Data Testing & Validation: Write and execute SQL-based data validations, reconcile source and target data, validate transformation logic, support functional and regression testing, and help resolve defects through root-cause analysis.
- Test Automation: Develop, maintain, and enhance automation scripts and reusable test assets to improve validation coverage, repeatability, and release confidence across data engineering workflows.
- AI-Assisted Automation Development: Use AI-assisted tools and techniques responsibly to accelerate development of automation scripts, improve test design efficiency, and strengthen validation productivity while adhering to enterprise engineering and control standards.
- Defect & Release Support: Coordinate with cross-functional teams during test cycles and releases, track defects, validate fixes, and ensure timely completion of assigned testing and quality assurance activities.
- Documentation & Test Standards: Maintain test documentation, validation evidence, reusable QA assets, and engineering artifacts in line with Schwab delivery and control standards.
Required Qualification:
Ideal Candidate Profile
- 15+ years of overall experience with strong hands-on expertise in data engineering testing, ETL validation, QA automation, or data warehouse environments.
- Experience working on large-scale data testing or data engineering quality assurance initiatives with strong hands-on ownership of automation development in an Agile delivery model.
- Strong foundation in data validation, defect identification, troubleshooting, and quality engineering best practices across testing lifecycles.
- Ability to work collaboratively across product, development, and QA teams in a fast-paced enterprise setting.
Required Experience
- Hands-on experience in Data Warehouse and ETL testing, validation, or quality engineering, with demonstrated ability to develop automation scripts for test execution, reconciliation, and validation, preferably using IICS or PowerCenter.
- Experience with Google Cloud Platform (GCP) and modern cloud-based data engineering practices.
- Proficiency in SQL, Python, and basic Unix/shell scripting to develop automation scripts and support testing, validation, automation, and troubleshooting.
- Experience using AI-assisted engineering tools to help create, refine, and optimize automation scripts and testing accelerators while ing sound engineering judgment, validation, and governance.
- Experience with Agile delivery tools such as Jira or Rally, with a solid understanding of software development lifecycle practices.
- Strong analytical, troubleshooting, defect diagnosis, test evidence review, and root-cause analysis skills.
- Ability to manage priorities independently, communicate clearly, and deliver high-quality work within tight timelines.
- Architects advanced processes to manage risks and regulate modifications per policy
- Uncovers complex phenomena through sophisticated data analysis
- Establishes robust processes to create, secure, and monitor data pipelines and stores
- Optimizes processes for effective data asset governance
- Leverages robust models and diagrams to convey data requirements
- Develops QA processes that confirm compliance and ensure operational reliability
Skills and Attributes
- Technical Depth: Strong hands-on capability in data testing, validation, automation script development, and problem solving across enterprise data workflows.
- Quality Mindset: Focused on accuracy, completeness, traceability, and reliability across testing, validation, and release activities.
- Execution Focus: Able to prioritize effectively, work independently, and consistently deliver in a dynamic environment.
- Collaboration: Works well with cross-functional teams and communicates issues, risks, and progress clearly.
- Continuous Improvement: Looks for opportunities to improve test automation, leverage AI-assisted development responsibly, streamline validation processes, and strengthen quality engineering practices.
Preferred Qualification:
Working knowledge of CI/CD and DevOps tools such as Bamboo, Bitbucket, GitHub, or GitHub Actions.
JobSub-FamilySpecific Competencies
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Analytical Thinking - Approaching a problem by using a logical, systematic, sequential approach
- Building Collaborative Relationships-Ability to develop, maintain, and strengthen partnerships with others who can provide information, assistance and support
- Data Engineering Fundamentals-Strategically managing and operationalizing data pipelines and storage systems for data mining, analytics, and machine learning, prioritizing compliance, security, and scalability
- Developing Others–Willingness to delegate responsibility and to work with others and coach them to develop their capabilities
- Forward Thinking–Anticipating consequences of situations and taking appropriate action to be prepared for possible contingencies
- Thoroughness–Ensuring that one’s own and other’s work and information are complete and accurate
Careful preparation for meetings and presentations
Following up with others to ensure that agreements and commitments have been fulfilled
At Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration – so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.
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Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions
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Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more
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Education assistance for continued learning to help you grow
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Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage
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Annual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)
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Childcare (creche) reimbursement for eligible employees
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Transportation and meal benefits that support your day-to-day work
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Group life, personal accident, and critical illness insurance
