ETL Data Engineer Job at VDart, Charlotte, NC

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  • VDart
  • Charlotte, NC

Job Description

ETL Data Engineer

Charlotte, NC - Onsite

6 Months


Job Description

  • 5-8 years of overall work experience in relevant fields, demonstrating a solid background in data engineering.
  • The work model is hybrid, allowing for a combination of in-office and remote work to accommodate team collaboration and productivity.
Required Skills:
  • Expert knowledge of retail and eCommerce, showcasing the ability to address specific industry challenges.
  • Strong working knowledge of ETL processes, enabling effective data management and transformation.
  • Design and develop end-to-end ETL / ELT pipelines for ingesting, transforming, and loading data from multiple sources
  • Build and maintain cloud-based data pipelines on Azure, including orchestration, automation, and monitoring
  • Design and implement data warehouse solutions, including data modeling for analytical use cases
  • Apply strong SQL skills for data transformation, validation, and analytical processing
  • Support downstream analytics and reporting platforms, including Power BI
  • Exposure to modern data processing concepts and AI-assisted tools to enhance pipeline development and data workflows
Preferred Skills:
  • Demonstrated expertise in ETL tools and methodologies, ensuring efficient data workflow
Job Responsibilities
  • Implement data ingestion pipelines from diverse sources, ensuring large-scale structured and unstructured data transmission between systems.
  • Develop data aggregation pipelines that effectively feed analytic and reporting solutions.
  • Maintain scalable code that adheres to company standards and is thoroughly documented.
  • Participate actively in agile SCRUM ceremonies, including refinement, planning, stand-ups, and retrospectives.
  • Flushing out business requirements and adding acceptance criteria to user stories.
  • Engage in peer review code sessions to uphold code quality.
  • Communicate effectively with management regarding proposed solutions and challenges.
  • Supervise and resolve data issues, demonstrating creative problem-solving skills.
  • Maintain in-depth knowledge of the data ecosystem and trends, acting as a domain expert.
  • Recommend new tools to enhance the current stack and efficiently address data needs.

Job Tags

Work experience placement, Work at office

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