Cloud Data Engineer - Snowflake

Type: Contract to Hire

Start: ASAP

Interview Process: 2-3 rounds

Visa: W2 only - no C2C allowed

As a Cloud Data Engineer, you will manage and support our cloud data infrastructure, focusing on Snowflake. You will design and implement data ingestion pipelines, data models, and new data source integrations. Your role includes maintaining current operations, addressing outages, and supporting automated data extract distributions. You will work closely with cross-functional teams to meet their data needs.

Key Responsibilities:

Manage and maintain Snowflake data warehouse infrastructure.
Develop, maintain, and optimize data ingestion pipelines, ELT processes, and data models.
Design, implement, and integrate new data source ingestions and models.
Ensure reliability, scalability, and performance of data infrastructure.
Resolve data infrastructure outages.
Support automated data extract distributions from Snowflake.
Collaborate with cross-functional teams to address data needs.
Continuously monitor and optimize data system performance.
Collaborate on the development, maintenance, and execution of disaster recovery plans.
Maintain comprehensive documentation for data architecture and processes.
Provide advanced support and troubleshooting for complex data issues.

Qualifications:

Required:
Bachelor's degree in Computer Science, IT, or related field.
3+ years in data engineering.
Extensive experience with Snowflake.
Strong knowledge of data modeling, ETL processes, and integration.
Proven experience managing cloud-based data infrastructures.
Strong problem-solving skills for complex data issues.
Excellent communication skills.
Ability to work effectively in a collaborative, fast-paced environment.
Technical skills: APIs, ETL tools (Apache, Talend, Informatica), scripting (Python, Java, Scala, Bash, Powershell), DevOps (Terraform/CloudFormation), Azure DevOps.
Experience with healthcare data concepts and technologies, including EHR extracts

Preferred:

Certifications in Snowflake or related technologies.
Experience with DBT or Alation.
Familiarity with data analytics and BI tools.
Experience with HL7/FHIR

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