Senior Data Engineer

TalentOlaMinneapolis, MN

About The Position

We are looking for a Senior Data Engineer to design and maintain scalable data pipelines and models. This role involves leading data modelling efforts, developing and optimizing ETL/ELT pipelines, implementing data governance practices, and designing cloud-based data solutions. The engineer will also automate workflows, support analytics teams, troubleshoot performance issues, ensure code quality, and collaborate with stakeholders to translate business needs into data solutions.

Requirements

  • Experience in designing and maintaining scalable data pipelines and models.
  • Proficiency in data modelling using dimensional, relational, and NoSQL approaches.
  • Experience in developing and optimizing ETL/ELT pipelines.
  • Knowledge of data governance practices, particularly aligned with HIPAA regulations.
  • Experience with cloud-based data solutions, specifically AWS (S3, Redshift, Glue, Athena, etc.).
  • Experience automating workflows using Apache Airflow.
  • Experience supporting analytics and reporting teams.
  • Skills in troubleshooting performance issues and optimizing query execution.
  • Proficiency in ensuring code quality through version control, testing, and documentation.
  • Ability to collaborate with stakeholders to translate business needs into data solutions.

Responsibilities

  • Design and maintain scalable data pipelines and models.
  • Lead data modelling efforts using dimensional, relational, and NoSQL approaches.
  • Develop and optimize ETL/ELT pipelines ensuring data quality and timely delivery.
  • Implement data governance practices aligned with HIPAA regulations.
  • Design and manage cloud-based data solutions using AWS (S3, Redshift, Glue, Athena, etc.).
  • Automate workflows using Apache Airflow for efficient data processing.
  • Support analytics and reporting teams with reliable data foundations.
  • Troubleshoot performance issues and optimize query execution.
  • Ensure code quality through version control, testing, and documentation.
  • Collaborate with stakeholders to translate business needs into data solutions.
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