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Data Engineer
2 weeks ago
Opportunity in the insurance industry to lead enterprise data solutions using Snowflake, dbt, AWS, and Python. Contribute to large-scale digital transformation and AI enablement in a hybrid role based in Markham. Work on high-impact projects within a collaborative, fast-paced technology environment.
What is in it for you:
• Salaried: $75-85 per hour.
• Incorporated Business Rate: $90-100 per hour.
• 12-month contract.
• Full-time position: 37.50 hours per week.
• Hybrid model: 3 days per week on-site, subject to change.
Responsibilities:
• Lead the design, development, and delivery of scalable data pipelines using dbt Core/Cloud and other modern tools.
• Architect data ecosystems aligned with enterprise standards and business requirements.
• Build, maintain, and optimize robust code in SQL, Python, Shell, and Terraform.
• Design and review data models (conceptual, logical, physical) to support business processes.
• Create detailed solution design documents to guide engineering implementation.
• Lead data testing strategies, including development of test plans and validation processes.
• Promote data governance practices and the use of data catalogs and quality frameworks.
• Analyze and resolve complex technical issues across data platforms.
• Facilitate scrum ceremonies and promote agile best practices within the team.
• Mentor junior engineers and contribute to the continuous improvement of engineering practices.
• Collaborate with cross-functional teams to deliver customer-centric data solutions.
• Conduct technical presentations and provide design feedback across projects.
• Plan and execute data release activities to ensure smooth deployments.
• Contribute to recruitment by designing technical challenges and participating in interviews.
What you will need to succeed:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in data engineering, including leadership in enterprise-level projects.
• Proven delivery of at least 5 large-scale data initiatives from design through implementation.
• Advanced expertise in Snowflake, PostgreSQL, Amazon Aurora, and Hadoop.
• Strong knowledge of NoSQL databases such as MongoDB.
• Proficiency in data visualization tools such as SnowSight, Streamlit, Qlik, and SAP Business Objects.
• Expert-level coding in SQL, Python, Shell, and Terraform.
• Experience with orchestration tools such as Zena and AWS Managed Airflow.
• High adaptability and resilience in complex, fast-paced environments.
• Strong communication and collaboration skills with the ability to lead and influence.
• Familiarity with insurance business processes is an asset.
• Experience with operationalizing AI/ML models is considered a plus.
• Preferred certifications:
• SnowPRO Core
• SnowPRO Advanced Data Engineer (DEA-C01 or DEA-C02)
• dbt Developer
• AWS Cloud Practitioner
Why Recruit Action?
Recruit Action (agency permit: AP provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.
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