Datasphere Data Engineer I

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2

Skills

Analytical Skill
Data Governance
Data Integration
Data Warehouse
Extract
Transform
Load
Snow Flake Schema
SQL
SAP
Datasphere

Job Details

Job Title: Datasphere Data Engineer I

Location: 100% Remote.

Duration: 6+ Months (Extendable)

Duties:

As a Datasphere Data Engineer I , 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

Skills:

  • 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

Education:

  • Bachelor s in Computer Science, Information Systems, Engineering, science discipline, or similar
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