You will:
- Own the optimization of data delivery for various cross-functional teams.
- Design, construct, install, test, and maintain highly scalable data pipelines.
- Collaborate closely with data architects, data scientists, and analysts to fulfill data requirements.
- Develop automated data processes for cleaning, validation, correction, and data mining.
- Identify, implement, and enhance internal process improvements, automating manual processes, and enhancing scalability.
You are:
- Proactive and act as a driving force for efficient data delivery and infrastructure.
- Focused on quality and approach every data-related project with enthusiasm.
- Diligent in ensuring secure and compliant handling of data in accordance with relevant regulations.
- Collaborative and adept at addressing data-related technical issues and supporting stakeholders' data infrastructure needs.
- An expert in data warehouse architecture, data modeling, and automated data pipelines.
You have:
- A minimum of 3 years of experience in a Data Engineering role.
- Hands-on experience with data warehouse solutions such as Snowflake or Redshift
- Experience with cloud platforms such as AWS, GCP, or Azure
- Advanced SQL knowledge and proficiency in working with relational databases.
- Familiarity with data pipeline and workflow management tools like Apache Airflow or Luigi.
- Strong analytical skills and the ability to thrive in a fast-paced environment.
- Familiarity with healthcare data standards like FHIR and HL7 is advantageous but not mandatory.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree is a plus.
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