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Interview

Mode (Must Have) – Final round In-person Skill – Snowflake, DBT, Glue 8+ years of skilled experience in data engineering, with a proven track record of delivering 3+ high-impact data projects from inception to warranty. Deep expertise in relational databases (Snowflake, PostgreSQL, Amazon Aurora), big data platforms (Hadoop), and NoSQL databases (MongoDB). Advanced proficiency in data visualization tools such as Snow sight, Streamlit, Qlik, and SAP Business Objects.

Expert level coding skills in SQL, Python, Glue, DBT, Shell, and Terraform, with a focus on maintainability and performance.

Experience with data orchestration and pipeline tools, including Zena and AWS Managed Airflow. High resilience and adaptability in ambiguous or high-pressure environments. A customer-first mindset, using data-driven insights to deliver impactful solutions.





Strong collaboration and communication skills, with the ability to lead teams and influence stakeholders. Insurance knowledge is an asset - Ability to foundationally understand complex business processes driving technical systems. Prior experience in AI/ML model operationalization is an asset.

Nice-to-have Certifications SnowPro Core SnowPro Advanced: Data Engineer (DEA-C01 or DEA-C02) dbt Developer AWS Cloud Practitioner Seniority Level

Mid-Senior level Employment Type

Contract Job Function

Consulting Industries

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📌 Sr. Data engineer-- KA72 (Markham)
🏢 Compunnel
📍 Markham