Description

You will build and maintain data infrastructure and pipelines.

Responsibilities

• Design, govern, and develop ETL processes across various databases.
• Build and manage data pipelines and data models for data warehouse/data lake solutions.
• Deploy and manage applications using Kubernetes for jobs and deployments.
• Develop and maintain REST API applications.

Required Skills

• 8+ years of professional experience in Data Engineering.
• Expert proficiency in Python and C#.
• Strong command of SQL and relational databases (e.g., Postgres, Oracle Inform, Oracle Dmw, MS SQL Server).
• Experience with data caching and key-value stores (Redis).
• Proficiency in containerization using Docker.
• Proven ability to build data warehousing and data lake solutions.
• Experience with ETL tooling and pipeline development.
• Familiarity with cloud data platforms like Snowflake.

Key Skills

Education

Any Gradute