Senior Data Engineer

8 hours ago

Markham ON, Canada Yochana Full time

Job Title: Senior Data Engineer Position: Full time/Subcon Mode: Hybrid (Mandatorily need to visit office 3 days a week) JOB DESCRIPTION: What you'll do As a Senior Data Engineer, you will play a pivotal role in driving the design, development, and delivery of scalable data solutions across the enterprise. You will: • Advocate for engineering standards and process efficiencies to ensure high-quality, timely delivery. • Lead the development of complex, high-performance data pipelines using tools like dbt Core/Cloud. • Help design, and review data models (conceptual, logical, physical) that meet business and technical requirements. • Own and maintain robust, reusable code in SQL, Python, Shell, and Terraform scripts. • Develop detailed low-level engineering solution design documents to guide implementation and ensure alignment with technical standards. • Create and review data test plans to ensure alignment with solution requirements. • Advocate importance of data catalogs, data governance and data quality practices. • Conduct root cause analysis and implement effective solutions for technical data issues. • Lead scrum ceremonies and foster an agile mindset across the team. • Mentor and support Data Engineers and Associate Data Engineers, elevating engineering standards and practices. • Collaborate cross-functionally to deliver high-quality data products with strong customer-centric focus. • Drive technical presentations and provide constructive feedback on data designs and processes. • Plan and execute data release activities to ensure smooth and high-performance delivery. • Support talent acquisition by designing interview challenges, conducting interviews, and contributing to hiring decisions. What you'll bring • 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

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