Data ENG

Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS, SQL   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: 5+ years of experience in Python/Java. - 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.