Avalara

Senior Data Engineer

Job description

The Global Analytics & Insights is looking for a Senior Data Engineer to act as a lead ‘Data Wrangler' for the team. The ideal candidate will have a diverse set of skills to handle an always evolving array of responsibilities, and no two weeks will be the same. This candidate will be able to identify and create engineering solutions with various degrees of complexity, and should be able to architect solutions leveraging Python, AWS, SQL, Viz tools, and everything in between. This candidate will need to understand modern engineering practices regarding SLDC, and be able to build CI/CD pipelines, automated testing, and source control integration.

Responsibilities :


  • Design and build solutions to provide data across the organization

  • Create pipelines leveraging Python to supplement and transform data

  • Inject SDLC best practices into the data stack, and provide guidance to other data engineers

  • Implement CI/CD pipelines with automated testing, code instrumentation, and real time monitoring

  • Create high quality dashboards and reports

  • Practice data security as a pillar in all things

  • Develop and manage end-to-end project plans and ensure on-time delivery

  • Work with business and engineering teams to identify scope, constraints, dependencies, and risks

  • Take end-to-end responsibility for tasks- delivering wholistic, sustainable solutions

Qualifications:


  • 8+ years experience in data engineering field

  • 4+ years of experience in data pipelines (ETL / ELT)

  • 2+ years of building cloud solutions (AWS and Snowflake a plus)

  • Bachelor's degree in Computer Science or Engineering, or relevant work experience

  • Advanced SQL proficiency

  • Advanced Python proficiency

  • Advanced experience with Data Visualization tools (Tableau and Power BI a plus)

  • Advanced knowledge of DevOps - Source Control, CI / CD, and Automated Testing

  • Working knowledge of Agile frameworks and Jira

  • Proven ability to communicate effectively with technical and non-technical stakeholders across multiple business units

  • Excellent problem-solving skills

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