Data Engineer

Salary Range: $2,500-$3,500 / month

Key Responsibilities:

  • Oversee the administration, maintenance and support of ETL pipelines, reports, and databases using various tools and technologies.
  • Serve as the primary support for databases, automated jobs, and reports. This includes monitoring notifications, conducting root cause analysis, and resolving issues.
  • Assist in designing, developing, deploying, and maintaining data warehousing processes using a variety of ETL tools.
  • Design, implement, and monitor business and process efficiently metrics to identify areas for improvement.
  • Ensure data accuracy and reliability through rigorous testing and validation processes.
  • Create clear documentation detailing the purpose, structure, and definitions of reports and processes.
  • Work closely with operational leaders to understand and meet the reporting and analytical needs of the business.
  • Provide guidance on report and data usage, offering insights on leveraging these tools for business improvements.
  • Participate in meetings to discuss operational enhancements and ensure alignment with business goals.
  • Manage workload autonomously, adapting to changing deadlines and priorities.
  • Design and implement special projects based on business needs.

Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, or any related field.
  • Strong understanding of T-SQL and data modeling principles with experience in SQL Server Reporting
  • Services, SQL Server Integration Services, Power BI, and Excel
  • Ability to write C# or similar code is a plus; experience with SQL Agent and PowerShell scripts is preferred.
  • Inquisitive nature with strong analytical, critical thinking, and problem-solving abilities.
  • Excellent verbal and written communication skills, with the ability to convey complex analysis clearly and effectively.
  • Strong organizational skills with the ability to manage multiple tasks and work collaboratively in a team environment.
  • Experience or a strong willingness to learn tools like Atlassian JIRA, Microsoft Dynamics CRM, Web Self Service, and Confluence.
  • Ability to visualize concepts and data using flowcharts or similar tools, and to interpret complex data through compelling visual representations.
  • Must be self-driven, focused on achieving results quickly and efficiently.
  • Ability to work effectively with colleagues and divisional stakeholders. Strong communication and collaboration skills.
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