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
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