Sr Specialist - Data Engineering

Charles Schwab; Hyderabad; On-site; INR 300,000 - 600,000; Full time

Benefits offered by this job

Competitive pay

EPF & Gratuity

Health insurance

Education assistance

Health check-ups

Job summary

Charles Schwab India in Hyderabad invites a Sr. Specialist, Data Engineering to join our data analytics and engineering team.

You will validate, test, and support data pipelines, collaborate with product, development, and QA teams, and contribute to reliable, well-governed data solutions in a regulated enterprise. The role emphasizes hands-on testing, ETL validation, automation development, and AI-assisted automation to accelerate delivery while maintaining Schwab standards and controls across

Qualifications

• Hands-on data engineering testing and ETL validation.
• Automation development in an Agile delivery model.
• Strong data validation, defect identification, and troubleshooting.

Responsibilities

• Requirements & design review to identify validation needs and risks.
• Test planning and scenario coverage for test cases and edge cases.
• Data testing and validation of SQL-based data transformations and reconciliation.
• Test automation to improve coverage, repeatability and release confidence.
• AI-assisted automation development to accelerate testing and validation.
• Defect and release support with cross-functional teams.
• Maintain test documentation and validation evidence.

Skills

Data testing

QA automation

SQL

Python

Agile

Data validation

Tools

IICS

PowerCenter

GCP

Jira

Rally

Bamboo

Bitbucket

GitHub Actions

Job description

Your opportunity

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.

Organization / Role Description:

The Sr. Specialist, 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 the OneSchwab/OneGCC model, 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.

What you have

Key Responsibilities

• 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

• 10+ 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 applying 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.
• Addresses QA challenges by applying best practices in testing and compliance.

Preffered Qualification:

Working knowledge of CI/CD and DevOps tools such as Bamboo, Bitbucket, GitHub, or GitHub Actions.

Job Sub‑Family Specific Competencies

• Analytical Thinking – Approaching a problem by using a logical, systematic, sequential approach.
• 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.
• Oral Communication – Expressing oneself clearly in conversations and interactions with others.
• Results Orientation – Focusing on the desired end result of one’s own or one’s unit’s work. Setting challenging goals, focusing effort on the goals, and meeting or exceeding them.
• Personal Credibility – Demonstrated concern that one be perceived as responsible, reliable, and trustworthy.
• Quality Assurance Testing – Confirming the integrity and reliability of business operations through rigorous testing and compliance verification.

What’s in it for you

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.

Our base benefits, wellbeing, and total rewards include:

• Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions
• Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more
• Education assistance for continued learning to help you grow
• Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage
• Annual reimbursement for health check‑ups and mental health support through our Employee Assistance Program (EAP)
• Childcare (creche) reimbursement for eligible employees
• Transportation and meal benefits that support your day‑to‑day work
• Group life, personal accident, and critical illness insurance