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.