Data Engineer with Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,sql
You will work with Python, Snowflake, dbt, Apache Iceberg, AWS (Glue, Lambda, Step Functions, ECS, Lake Formation, EMR, Athena), and SQL. The role involves architecting and building data platforms, implementing robust data pipelines, and managing metadata tools.
Free Tailor for ATS: 10/10 runs left
Key Responsibilities:
•Architect and Develop: Contribute to the platform’s architectural design and build integration, modelling, 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.