Description

You will lead the design and implementation of data architecture and streaming systems.

Responsibilities

• Architect data warehouse structures and real-time streaming solutions.
• Build and manage ETL/ELT data pipelines and data management processes.
• Implement data modeling, retention concepts, and data management practices.
• Maintain CI/CD pipelines using Git and Bitbucket.

Required Skills

• 7+ years of hands-on experience in ETL/ELT data engineering.
• Expert-level proficiency in Python.
• Experience with real-time data streaming tools like Kafka or Kinesis.
• Strong background in Data Warehouse Architecture.
• Proficiency in Data Modeling and Data Management.
• Hands-on experience with Postgresql.
• Experience with Git and Bitbucket.
• Knowledge of Continuous Integration (CI) and Continuous Delivery (CD) pipelines.

Preferred Skills

• Experience managing data retention policies and lifecycle management.

Key Skills

Education

Not specified