Job Description :-
| Company: | Charles Schwab |
| Job Role: | Associate – Software Development & Engineering |
| Batches: | 2021-2026 |
| Degree: | Bachelor’s or master’s degree |
| Experience: | Freshers(0-2years) |
| Location: | Hyderabad, India |
| CTC/Salary: | ₹5.4-10 LPA (Expected) |
What you have
Key Responsibilities:
▪Build and enhance data pipelines to ingest, transform, validate, and publish datasets used for quantitative research and downstream analytics.
▪Implement data-quality 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 day-2 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 tools—including AI-assisted coding tools where appropriate—to accelerate delivery while maintaining high quality, correctness, and proper review practices.
Required Qualifications:
▪ Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent practical experience).
▪ 0–2 years of software engineering experience (including internships, co-ops, undergraduate research, or substantial project work).
▪ Proficiency in at least one general-purpose 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/ELT-style data transformations.
▪ Understanding of core software engineering practices such as version control (Git), code review, and automated testing concepts.
▪ Ability to troubleshoot issues using logs/metrics and to communicate clearly with teammates and stakeholders about progress, risks, and next steps.
▪ Commitment to secure development and responsible data handling (e.g., least privilege, secrets management, and following data governance standards).
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