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Data Engineer
Skills
Cloud ComputingJavaAmazon KinesisAmazon RedshiftAmazon Web ServicesEngineeringExtract
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 2-5+ years of professional experience in data engineering or related roles
- Strong SQL skills including query optimization and debugging
- Proficiency in Python or another programming language such as Scala or Java
- Hands-on experience with at least one cloud-based data platform such as Snowflake Databricks Azure Data Factory AWS Redshift or Google BigQuery
- Experience with dbt or similar transformation tools
- Experience with Apache Airflow or other orchestration frameworks
- Familiarity with ETL ELT principles data warehousing and data modeling concepts
- Experience with cloud services such as AWS Azure or GCP
Nice to have
- Healthcare industry knowledge
- CI/CD and DevOps familiarity
- Infrastructure-as-Code experience
- Streaming data exposure
- Containerization experience
- Cloud or data certifications
Day to day
- Design, build, and maintain scalable data pipelines and workflows for healthcare data environments.
- Transform raw data from diverse sources into clean, reliable, analytics-ready structures.
- Collaborate closely with customers and teammates to solve complex data challenges and support successful project delivery.