Data Engineer with 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, 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.