Data Engineer

Join a dynamic team shaping the future of financial services by building and maintaining modern data platforms. This role involves collaborating with business and technology partners to deliver impactful solutions, leveraging cutting-edge tools and technologies. You will contribute to the architectural design, development, and maintenance of data platforms, ensuring performance, stability, and alignment with business needs. Key Responsibilities: • Architect and Develop: Contribute to the platform’s architectural design and build integration, modeling, data persistence, and analytical systems. • Data Pipelines: Implement, maintain, and test robust data pipelines. • Metadata Management: Develop and manage metadata processes and tools. • Performance Monitoring: Ensure the stability and performance of data pipelines. • Data Quality: Implement tools for data curation, metadata management, and quality assurance. • Collaboration: Engage with business and technology teams to align the platform with organizational goals. Preferred Technical Skills: • Programming: 10+ years of experience in Java and Python development. • Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS). • Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark. • Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT. • Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services. • Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez. • RDBMS: Knowledge of PostgreSQL is a plus. • Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.