Job Title – Sr. Data engineer
Work Mode – Hybrid Role
Location : Markham, ON
Type – Long Term Contract
Interview Mode (Must Have) – Final round In-person
Job description
Skill - Snowflake, DBT, Glue
8+ years of professional 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.
- Any or all of the following certifications will be nice to have : o SnowPro Core o SnowPro Advanced : Data Engineer (DEA-C01 or DEA-C02) o dbt Developer o AWS Cloud Practitioner