Teams at Synechron

Designs and maintains scalable data pipelines, Snowflake data warehouses, ETL/ELT frameworks, and financial data models. Develops complex SQL, Python, and PySpark solutions; optimizes warehouse and Spark performance; ensures data quality, governance, security, lineage, and regulatory compliance. Collaborates with capital markets stakeholders across trading, risk, reporting, and data functions, while supporting deployments, documentation, and platform enhancements.

Design, implement, deploy, support, and optimize enhancements to a scalable electronic trading platform. Collaborate with software engineers globally, automate repetitive tasks, and apply data-driven optimization techniques. The role requires strong Java expertise in concurrency, performance tuning, memory management, debugging, and low-latency or real-time systems, along with Linux/UNIX command-line proficiency. Experience with OMS, containers, Kubernetes, messaging systems, profiling, metrics, and CI/CD is preferred.

Senior Business Analyst supporting capital-markets data governance in a complex banking environment. Responsibilities include validating data catalogs, resolving domain ownership and classification issues, assessing lineage and dependencies, defining data semantics, identifying consuming domains, and documenting contract obligations. The role facilitates workshops with business and IT stakeholders across front office, regulatory operations, risk, and finance, driving decisions on contested ownership questions. Candidates need extensive capital-markets experience, data analysis or governance expertise, and the ability to challenge technical findings on business grounds.