Data Analytics Engineer

3 weeks ago


Camden, United States Swoon Full time

Seeking a Data Analytics Engineer for one of the leading Motor Vehicle Manufacturers


We’re moving from on-prem Oracle to Azure Cloud and need a talented Data Analytics Engineer to join our team. This role requires deep expertise in Azure

  • Direct Hire
  • W2 or Greencard- sponsorship is unavailable
  • 3 days onsite- must be a local candidate


Role Summary

The Data Analytics Engineer will be responsible for developing and optimizing our cloud-based business intelligence solutions. This role advances data analytics capabilities and drives innovation by managing data integrations across Oracle, CRM (Dynamics), and telematics systems. You’ll work closely with Data Science, Enterprise Data Warehouse teams, and business stakeholders to deliver high-impact data solutions.


Key Responsibilities

  • Data Ingestion & Storage: Develop scalable data pipelines using Data Factory and Databricks, leveraging PySpark for complex transformations.
  • Data Engineering: Create high-code solutions using Databricks, building data models, and implementing Lakehouse Architecture.
  • Data Integration: Integrate and harmonize data from diverse sources, ensuring data quality and reliability.
  • GitHub Development: Utilize GitHub for version control and develop CI/CD workflows for streamlined deployments.


Qualifications

  • Technical Skills: Proficiency in Azure Data Factory, Databricks, Synapse, Python, PySpark, and Lakehouse Architecture.
  • Data Integration Expertise: Experience integrating data from on-prem Oracle and connected vehicle data.
  • Version Control: Strong GitHub experience for development in large-scale environments.
  • IaC Experience: Familiarity with Infrastructure as Code tools (ARM templates or Terraform).
  • Problem-Solving & Communication: Strong analytical and communication skills to collaborate with cross-functional teams effectively.


Education & Experience

Bachelor’s degree with 6-8 years of relevant experience.


Key points about the role:

  • Core Expertise Needed: Azure, Databricks, Data Lake, and cloud architecture knowledge, with ExpressRoute as a strong plus.
  • Development Focused: Looking for a hands-on developer who can leverage GitHub for deployment.
  • Azure Certifications: Highly preferred.



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