Lead Data Engineer, GFT
Required skills
Data engineering, Data architecture, System integration, Data management, Data governance, SQL, Generative-AI tools, Cloud architecture, API development, DevOps, Programming (Python/Scala/Java), Data transformation, Orchestration, Security protocols.
Preferred skills
Cloud migration (on-premises to off-premises), Capital Markets experience, Financial technology services experience, Financial services products experience.
Technologies
Cloudera Data Platform, Microsoft Azure, AWS, Databricks, Snowflake, Data Build Tool (DBT), Apache Airflow, Stonebranch UAC, Control-M, OpenShift (OCP), Docker, Kubernetes, FastAPI, GitHub Actions, LDAP, Kerberos, OAuth 2.0, Microsoft Entra ID, HashiCorp Vault.
Responsibilities
Provide technical leadership, Execute development deliverables for Finance Data Platform, Design and develop data pipelines, Collaborate with stakeholders, Implement data modeling and architecture strategies, Improve internal processes, Enrich raw data, Build ETL frameworks, Develop data conversion scripts, Ensure data accuracy and consistency.
Seniority
Lead, 7+ years experience (with 3+ years in specific areas).
Domain
Finance, Financial Services, Data as a Service (DaaS).
