AWS Data Engineer – Python, Databases, Capital Markets & DevOps
Synechron (company site, opens in a new tab)7–10 yrsPuneOn-siteDirect career pageEst. 18–30 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, and support scalable data solutions and applications on AWS focusing on relational, columnar, and vector databases.
- Develop and maintain Python code for data processing, automation, and application support aligned with capital markets and Fixed Income use cases.
- Contribute to DevOps activities including CI/CD pipelines, deployment automation, infrastructure support, and troubleshooting to enhance operational reliability.
Minimum Requirements
- 7–10 years of professional experience in data engineering, software/cloud engineering, database engineering, or DevOps roles.
- Strong expertise in AWS services and cloud infrastructure with proven deployment and support experience.
- Advanced Python development skills with experience in writing clean, maintainable, and testable code.
- Extensive experience managing relational (MySQL, PostgreSQL), columnar (Amazon Redshift, Apache Parquet), and vector databases, with knowledge of capital markets including Fixed Income instruments.
- Shift requirement: Willingness to work 12:00 PM to 9:00 PM shift.
- Bachelor's degree in Engineering or related field; equivalent experience considered.
Ideal Candidate Profile
- Experienced in financial services or capital markets environments, specifically with Fixed Income data and related financial concepts.
- Operationally skilled in both data engineering and supporting DevOps processes like CI/CD and cloud infrastructure management.
- Able to make technical decisions on data architecture, database optimization, and deployment within approved standards to maintain scalable, secure, and sustainable solutions.