Your opportunity Schwab Description At Charles Schwab our purpose is simple we champion clients goals with passion and integrity Guided by honesty mutual respect and a commitment to doing whats 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 Our Hyderabad location is central to Schwabs 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 its a chance to experiment learn and build within a valuesdriven supportive setting This is a unique opportunity to be part of our early growth phase and shape something recent 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 What you have Role Description As a Software Engineer supporting the Schwab Asset Management SAM Engineering Investment Research Technology group you will work as a handson technologist focused on our quantitative research initiatives We currently maintain a variety of existing onpremise and cloud solutions and we are actively expanding the capabilities of these platforms to drive cuttingedge research and product development activities We partner closely with researchers and product teams to acquire curate and operationalize diverse datasets so researchers can move from ideas to backtested signals and productionready models faster with strong governance and quality In this role youll join a collaborative engineering team and contribute handson to our modern data platform building and improving data pipelines implementing automated dataquality checks and helping deliver productiongrade datasets and services used across research workflows Its a great chance to grow your software engineering and data engineering skills while seeing your work directly enable quantitative research and model development Key Responsibilities Partner with researchers product owners and other engineers to clarify requirements ask the right questions and translate business needs into wellscoped technical tasks and deliverables Build and enhance data pipelines to ingest transform validate and publish datasets used for quantitative research and downstream analytics Implement dataquality controls e g schema checks completeness accuracy rules anomaly detection and contribute to data lineage documentation and operational runbooks Contribute to our data platform and supporting services APIs shared libraries workflow orchestration scheduling with an emphasis on maintainability performance and reliability Write clean testable code and practice disciplined engineering unit integration tests code reviews version control and adherence to Schwab development standards Collaborate with DevOps production support and partner technology teams to deliver supportable solutions including CI CD monitoring alerting and day2 operational readiness Participate in Agile ceremonies standups grooming sprint planning demos retros and communicate progress risks and dependencies clearly and early Support incident triage and problem management by analyzing logs metrics identifying root causes and driving fixes to reduce recurrence with mentorship as needed Apply security and compliance best practices least privilege secrets handling secure coding and follow data governance guidelines when handling sensitive information Leverage modern development toolsincluding AIassisted coding tools where appropriateto accelerate delivery while maintaining high quality correctness and proper review practices Required Qualifications Bachelors degree in Computer Science Engineering Mathematics Statistics or a related field or equivalent practical experience 02 years of software engineering experience including internships coops undergraduate research or substantial project work Proficiency in at least one generalpurpose programming language e g Python Java C or similar and comfort learning new technologies quickly Working knowledge of data fundamentals relational data concepts writing SQL queries and designing debugging ETL ELTstyle data transformations Understanding of core software engineering practices such as version control

📌 Specialist Software Engineer Python Data Engineering (Hyderabad)
🏢 Charles Schwab
📍 Hyderabad