Position Details
About this role
This role involves designing and maintaining scalable data pipelines and architectures for healthcare data, collaborating with cross-functional teams to ensure data integrity and security.
Key Responsibilities
- Develop data pipelines
- Implement ETL processes
- Collaborate with data scientists
- Ensure data security
- Optimize data workflows
Technical Overview
Proficiency in Python, SQL, Spark, Hadoop, and cloud platforms (AWS, Azure, GCP). Experience with ETL processes, data governance, and big data technologies.
Ideal Candidate
The ideal candidate is a mid-level data engineer with over 5 years of experience in building scalable data pipelines, proficient in Python and SQL, and experienced with cloud platforms like AWS, Azure, or GCP. They should have a strong understanding of data governance and security in healthcare or enterprise environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience, Lack of proficiency in Python and SQL, No experience with distributed data frameworks, No cloud platform knowledge
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