Data Engineer – Python, AWS & SQL

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Python, AWS services, SQL & Data Modeling) → Round 3: HR Interview (fitment, communication, expectations)

LSEG promotes a collaborative environment where engineers are encouraged to experiment and share knowledge. The company offers structured career growth, regular learning sessions, and a healthy work‑life balance with flexible timings.

LSEG’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on Python coding, AWS service design, and SQL queries. The final HR round assesses cultural fit and communication skills. Candidates should be prepared for scenario‑based questions and practical coding exercises.

Graduates (B.Tech/B.E/M.Tech) in Computer Science, Information Technology, Electronics, or related streams. Minimum 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Batch 2025 or 2026. Freshers only; internships are not considered.

London Stock Exchange Group (LSEG) is a global financial markets infrastructure provider with a strong presence in India. The company operates multiple exchanges, data services, and technology platforms that power trading, clearing, and post‑trade activities for millions of participants worldwide. In India, LSEG has been expanding its technology footprint, focusing on building next‑generation data pipelines, cloud‑native services, and analytics solutions that enable faster, more reliable market data delivery. The work culture emphasizes collaboration, continuous learning, and a commitment to delivering high‑impact solutions for the financial ecosystem. As a Data Engineer, you will be part of a fast‑growing engineering team that designs, builds, and operates data platforms on AWS. You will write production‑grade Python code, create robust data models, and develop end‑to‑end pipelines that ingest, transform, and serve data to downstream applications. The role offers exposure to modern cloud services such as Lambda, S3, Glue, EMR Serverless, and Aurora PostgreSQL, allowing you to gain deep expertise in building scalable, fault‑tolerant systems. **Key Responsibilities** 1. Write clean, modular, and well‑tested Python code for APIs, command‑line tools, and data processing services. 2. Design and implement relational data models in Aurora PostgreSQL, ensuring schema evolution and backward compatibility. 3. Build and maintain data ingestion pipelines using AWS services like Lambda, S3, Glue, and EMR Serverless. 4. Develop CI/CD pipelines, enforce version control best practices, and automate unit, integration, and contract tests. 5. Implement observability through structured logging, metrics, tracing, and alerting mechanisms. 6. Participate in code reviews, refactoring sessions, and knowledge‑sharing forums. 7. Troubleshoot production issues, perform root‑cause analysis, and drive long‑term reliability improvements. 8. Collaborate with data scientists, product managers, and other engineers to translate business requirements into technical solutions. 9. Contribute to documentation, design specifications, and technical roadmaps. 10. Stay updated with emerging cloud technologies and propose enhancements to the data platform. **Tech Stack**: Python, AWS (Lambda, S3, Glue, EMR Serverless, Aurora PostgreSQL), SQL, Git, Docker, CI/CD tools (Jenkins/GitHub Actions), Linux, REST APIs, Terraform (optional). **Growth Path**: Starting as a junior data engineer, you can progress to senior engineer, lead engineer, and eventually architect or product owner roles, with opportunities to move across LSEG’s global data and technology divisions. **Why Join LSEG?** The company offers a competitive salary range, exposure to cutting‑edge cloud technologies, mentorship from industry veterans, and a culture that values innovation and work‑life balance. Fresh graduates get a clear learning curve, hands‑on projects, and the chance to impact real‑world financial data services.