AWS Data Engineer – Python, Databases, Capital Markets & DevOps

Job Summary Synechron is seeking an AWS Data Engineer with a 70% focus on data engineering and a 30% focus on DevOps to design, develop, deploy, and support scalable data solutions on AWS. The role requires strong AWS knowledge, advanced Python development skills, robust database expertise, and an understanding of capital markets, including Fixed Income instruments and related financial concepts. The AWS Data Engineer will work with relational, columnar, and vector databases while supporting cloud infrastructure, CI/CD processes, and reliable application delivery. This position contributes to business objectives by delivering secure and scalable data solutions, improving database performance, supporting capital markets capabilities, strengthening deployment processes, and enabling reliable access to high-quality data. Software Requirements Required Software Skills AWS services and cloud infrastructure: Proven experience designing, developing, deploying, and supporting applications and data solutions on AWS. Python: Strong professional experience writing clean, efficient, reliable, maintainable, and testable Python code. Relational databases: Extensive experience with relational database technologies, including MySQL and PostgreSQL. Columnar databases and data formats: Experience with Amazon Redshift and Apache Parquet. Vector databases: Experience working with vector databases to support project requirements, search, analytics, or data retrieval. Database design and optimization: Knowledge of schema design, indexing, query optimization, data modeling, and database architecture. Data engineering: Experience developing data solutions, managing data flows, and working with structured and semi-structured data. DevOps: Ability to support cloud deployments, infrastructure activities, CI/CD processes, troubleshooting, and operational reliability. Capital markets: Knowledge of capital markets, including Fixed Income instruments and related financial concepts. Software development practices: Knowledge of software development best practices, design principles, testing, version control, and technical documentation. Preferred Software Skills AWS certifications relevant to data engineering, cloud architecture, or DevOps. Experience with data modeling and data warehousing. Familiarity with DevOps tools and CI/CD pipelines. Experience with infrastructure automation and cloud deployment processes. Understanding of additional financial instruments and capital markets concepts. Experience supporting data-intensive applications in financial services or related environments. Overall Responsibilities Develop and deploy scalable applications and data solutions on the AWS cloud platform. Write clean, efficient, reliable, and maintainable Python code for data processing, application services, automation, and operational support. Design, implement, maintain, and optimize relational, columnar, and vector databases.