Company Overview:
We are collaborating with a global business as they seek to expand their data engineering team.
Main Responsibilities Include:
* Design, develop, and maintain robust data pipelines and ETL processes.
* Integrate various data sources and APIs to ensure seamless data flow.
* Develop and implement data models and database structures.
* Utilize cloud environments (GCP, Azure, AWS) to manage and optimize data storage and processing.
* Collaborate with data scientists and analysts to support their data needs and enhance data-driven decision-making.
* Ensure data quality, consistency, and reliability across the organization.
* Create and maintain detailed documentation of data engineering processes and infrastructure.
* Utilize data visualization tools (e.g., Power BI, Tableau) to create insightful and actionable reports.
You Will Have:
* 5+ years of experience as a Data Engineer.
* Proven experience in a cloud environment (GCP, Azure, AWS).
* Strong experience in API integration.
* Proficiency in SQL and Python.
* Extensive experience in ETL processes and building data pipelines.
* Strong data modeling skills.
* Experience with Snowflake.
* Proficiency in data visualization tools such as Power BI or Tableau.
Why Join?
This is a brilliant opportunity to join a rapidly growing business and take your career to the next level. You'll work alongside excellent mentors, contributing to meaningful projects that have a real impact on the business and our end customers. If you are passionate about data engineering and eager to make a difference in the healthcare industry, we would love to hear from you.