Description

You will serve as a technical advisor for data engineering and large-scale data processing.

This role is remote.

Responsibilities

• Develop and maintain data pipelines using PySpark and Databricks.
• Design data models and implement data warehousing concepts.
• Build and manage ETL processes to handle complex data flows.
• Execute data manipulation and querying using SQL.
• Collaborate within Agile/Scrum teams to solve technical problems and debug data systems.

Required Skills

• 5+ years of professional experience in software or data engineering.
• Strong hands-on experience with PySpark and Databricks.
• Proficiency in SQL for data manipulation and querying.
• Solid understanding of data modeling and data warehousing principles.
• Experience building and managing ETL processes.
• Practical knowledge of cloud platforms, specifically AWS.
• Understanding of big data concepts, including data lakes and data warehouses.
• Experience working in Agile/Scrum development methodologies.
• Strong problem-solving and debugging capabilities.

Preferred Skills

• Knowledge of FHIR and HI2 Interoperability.
• Familiarity with DevOps, CI/CD, and automation practices.
• Understanding of data governance principles and tools.

Key Skills

Education

Any Graduate