Senior Data Engineer

2 days a week in client office, 3 days remote

Mandatory Skillsets: AWS + Snowflake + Python

• 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.

• Programming
  : 12+ years of experience in Python.
• 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, Event Bridge, Athena, and similar services.
• Metadata Tools
  :
  Experience with tools like Amundsen, Atlas, Data Hub, Open Data Discovery , or Marquez.
• RDBMS
  :
  Knowledge of Postgre
  
  SQL is a plus.
• Industry Experience
  :
  Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.