Hybrid
Full Time
We are seeking a highly skilled and motivated Data Engineer to join our dynamic team.
The ideal candidate will have a strong background in designing, developing, and managing data pipelines, working with cloud technologies, and optimizing data workflows.
1. Data Engineer with a strong foundation in data warehousing and data lake principles.
2. Extensive hands-on experience with AWS services (e.g., EC2, Glue, S3, Redshift, ECS, Lambda, API Gateway, VPC).3. Strong proficiency in Python, SQL, and PySpark.4. Experience with containerization technologies (Docker, Kubernetes) and serverless computing.5. Experience with CI/CD pipelines (e.g., Gitlab).6. Strong understanding of data modeling, data warehousing concepts (e.g., dimensional modeling), and data quality best practices.7. Experience with Agile development methodologies.
Experience with healthcare domain data is good to have but not mandatory.
Experience with data governance and data security best practices.
Experience with Terraform.
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