Fusion Connect

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Data Engineer, Business Intelligence

Data EngineerData EngineerFull TimeRemoteTeam 501-1,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

175 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishAWSAzureCloudERPETLGoogle Cloud PlatformPythonSQLTableau

Job Description

• Design, build, and maintain scalable ETL/ELT pipelines to support BI and analytics use cases. • Collaborate with BI analysts and business stakeholders to understand data needs and translate them into technical requirements. • Develop and manage data models and data marts that enable efficient reporting and analysis. • Ensure data quality, integrity, and governance across all BI datasets. • Optimize data workflows for performance, scalability, and cost-efficiency in cloud and/or on-prem environments. • Integrate data from multiple sources including internal systems (ERP, CRM, operational databases) and third-party APIs. • Monitor and troubleshoot data pipelines and workflows to ensure timely data availability. • Implement and maintain metadata management, data lineage, and documentation for transparency and compliance. • Support the BI team in developing dashboards, reports, and self-service analytics tools.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • 3+ years of experience in data engineering, preferably supporting BI or analytics functions.
  • Proficient in SQL and experience with other programming languages (e.g., Python).
  • Hands-on experience with ETL tools and data integration patterns.
  • Experience with data warehousing platforms.
  • Familiarity with BI tools such as Tableau and Power BI.
  • Experience working in cloud environments (AWS, GCP, or Azure).
  • Preferred: Experience with CI/CD pipelines for data workflows.
  • Preferred: Familiarity with data governance frameworks and privacy regulations (e.g., GDPR, CCPA).
  • Preferred: Understanding of agile methodologies and experience working in cross-functional teams.
  • Strong problem-solving skills and the ability to communicate technical concepts to non-technical audiences.

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