ETL Data Engineer Job at Cynet Systems, Charlotte, NC

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  • Cynet Systems
  • Charlotte, NC

Job Description

Data Engineer

Requirement/Must Have:

  • 5–8 years of relevant experience in data engineering or related fields.
  • Strong knowledge of retail and eCommerce domain.
  • Strong experience with ETL/ELT processes and data transformation.
  • Experience designing and developing end-to-end data pipelines.
  • Experience building and maintaining cloud-based data pipelines on Azure.
  • Strong SQL skills for data transformation, validation, and analytics.
  • Experience designing and implementing data warehouse solutions and data models.
  • Experience supporting analytics and reporting platforms such as Power BI.
  • Experience handling structured and unstructured data ingestion at scale.
  • Experience with orchestration, automation, and monitoring of data pipelines.
  • Experience working in agile SCRUM environments.
  • Experience participating in code reviews and maintaining coding standards.

Responsibilities:

  • Implement data ingestion pipelines from diverse data sources.
  • Develop data aggregation pipelines to support analytics and reporting solutions.
  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Develop and maintain cloud-based data pipelines on Azure.
  • Design and implement data warehouse and data modeling solutions for analytical use cases.
  • Ensure code quality through documentation, peer reviews, and adherence to standards.
  • Participate in agile ceremonies including refinement, planning, stand-ups, and retrospectives.
  • Translate business requirements into technical solutions and define acceptance criteria.
  • Troubleshoot and resolve data-related issues.
  • Communicate proposed solutions and technical challenges to management.
  • Evaluate and recommend new tools and technologies to enhance the data ecosystem.

Should Have:

  • Exposure to modern data processing concepts and AI-assisted development tools.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in cross-functional teams.
  • Strong communication skills.

Skills:

  • ETL/ELT development.
  • Azure data services.
  • SQL.
  • Data modeling.
  • Data warehousing.
  • Power BI integration.
  • Agile/SCRUM methodology.
  • Data pipeline orchestration and automation.

Qualification and Education:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.

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