SR Data Integration Developer (Data Engineer) with SQL, Python and Azure experience to support the Data management team.

S.i. Systems
Edmonton
Temps plein

Our client is seeking a SR Data Integration Developer (Data Engineer) with SQL, Python and Azure experience to support the Data management team.

We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will bring a strong technical background in data engineering, effective problem-solving skills, and the ability to collaborate across multiple teams.

This role focuses on building, optimizing, and maintaining scalable data pipelines to support data-driven decision-making across the organization.

Onsite Calgary or Edmonton 3x a week is mandatory

Responsibilities :

  • Design, develop, and implement highly scalable, repeatable, and secure data pipelines and transformation processes
  • Collaborate with data scientists, analysts, and stakeholders to understand data needs and translate requirements into technical solutions
  • Optimize and maintain data architectures, including databases, data lakes, and data warehouses
  • Ensure data quality and consistency through rigorous testing and validation processes
  • Implement data governance and security protocols to protect data integrity and confidentiality
  • Monitor and troubleshoot data pipelines to ensure reliability and accuracy of data flows
  • Work with cloud platforms (e.g., Azure) to leverage scalable and cost-effective data storage and processing solutions
  • Document data processes and data models, ensuring they are accessible and understandable for both technical and non-technical stakeholders
  • Stay current with industry trends and emerging technologies to improve data engineering practices continuously

Must-Haves :

  • 7+ years of experience in a Data Engineering role, with building and maintaining data pipelines and architectures
  • Proficiency in SQL, Python, and ETL tools
  • Experience with cloud platforms such as Azure (Data Factory, Databricks)
  • Data modeling , data warehousing , and data lake architectures
  • Utilities experience
  • Data governance principles, data privacy regulations, and security best practices

Nice-to-Haves :

  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred)
  • Passion for turning disparate data streams into organized, actionable analytics
  • Strong programming acumen, competency in manipulating large data volumes, and solid knowledge of a wide range of data processing and modeling technologies
  • Il y a 2 jours
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