Data Engineer- Datasphere

Job Type: C2H (Contract to Hire)

As a Data Engineer, you will work in a diverse, innovative team, responsible for designing, building, and optimizing the data infrastructure and pipelines for our new healthcare company's data platform. You'll architect and construct our core data backbone on a modern cloud stack, enabling the entire organization to turn complex data into life-saving insights. In this role, you will have the opportunity to solve challenging technical problems, mentor team members, and collaborate with innovative people to build a scalable, reliable, and world-class data ecosystem from the ground up.

Core Responsibilities: (essential job duties and responsibilities)

• Design, develop, and maintain data replication streams and data flows to bring data from various SAP and non-SAP sources into Snowflake.
• Implement curated datasets on a modern data warehouse and data hub
• Interface directly with business and systems subject matter experts to understand analytic needs and determine logical data model requirements
• Work closely with data architects and senior analysts to identify common data requirements and develop shared solutions
• Support data integration and data modelers engineers
• Support and maintain data warehouse, ETL, and analytic platforms

Required Skills and Experiences:

• Data warehouse and ETL background
• Advanced SQL programming capabilities
• Background in preparing data for analysis and reporting
• Familiar with data governance principles and tools
• Success in a highly dynamic environment with ability to shift priorities with agility
• Ability to go from whiteboard discussion to code
• Willingness to explore and implement new ideas and technologies
• Ability to effectively communicate with technical and non-technical audiences
• Ability to work independently with minimal supervision

Minimum Qualifications:

• 4+ years experience with SQL. Snowflake strongly preferred.
• 3+ years experience with SAP Datasphere.
• 2+ years experience working directly with subject matter experts in both business and technology domains
• 2+ years experience with ERP data - preferably SAP S4, MS Dynamics and or BPCS
• 1+ year of experience with Salesforce, Workday, Concur or any other Enterprise application

Nice-to-have:

• Experience with Machine Learning tools and processes
• Hands-on experience with Python
• Experience with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, CloudFormation).

Education:

• Bachelors in Computer Science, Information Systems, Engineering, science discipline, or similar.