Data Engineer

StevenDouglas
Deerfield, FL Full Time
POSTED ON 6/12/2024 CLOSED ON 7/12/2024

What are the responsibilities and job description for the Data Engineer position at StevenDouglas?

Title: Data Engineer

Location: Deerfield Beach, FL

Work Requirements: Those authorized to work in the United States without sponsorship are encouraged to apply: Citizen, GC Holders or GC-EAD

This role is not open to third party vendors.


Summary:

We are seeking a Senior Data Engineer to join one of our esteemed clients, responsible for developing curated data models, ETL pipelines, and views in a cloud-based environment to support analytics and reporting needs. The ideal candidate will assist with migrating our data delivery platform from on-premises to the cloud, providing guidance on best practices and industry recommendations. Experience with the Azure stack and cloud-based data engineering is highly preferred. Strong SQL skills and the ability to communicate effectively between business and technical users are essential.


Responsibilities:

  • Develop and maintain data models, ETL pipelines, and views to support business analytics and reporting needs in a cloud-based environment.
  • Assist in migrating data delivery platforms from on-premises to the cloud, ensuring smooth transition and minimal disruption.
  • Provide guidance and support for setting up new cloud environments, leveraging industry best practices and hands-on experience.
  • Standardize data modeling and design frameworks for analysis, design, building, testing, and maintenance.
  • Extract, retrieve, and analyze data using SQL-based tools.
  • Collaborate with business and technical users to understand requirements and deliver data-driven solutions.
  • Adhere to data governance standards and practices to ensure data integrity and security.
  • Work in an agile development environment, utilizing Azure Boards for project tracking and management.


Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years of experience in data engineering, with a focus on cloud-based environments.
  • Proven experience with data migration from on-premises to cloud platforms.
  • Strong knowledge of the Azure stack (Azure Data Factory, Azure Databricks, Azure SQL Database).
  • Proficiency in SQL and experience with SQL-based tools for data extraction and analysis.
  • Excellent interpersonal and communication skills, with the ability to bridge the gap between business and technical users.
  • Familiarity with data governance standards and practices.
  • Experience working in an agile development environment and using Azure Boards for project management.
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