Senior Data Engineer
7 days ago
Position: Senior Data Engineer
Location: Markham,ON
Position: Full time/Subcon
Mode: Hybrid (Mandatorily need to visit office 3 days a week)
Technical Expertise: Deep knowledge of relational databases (Snowflake, PostgreSQL, Amazon Aurora), big data platforms (Hadoop), and NoSQL databases (e.g., MongoDB).
Data Visualization Proficiency: Skilled in tools such as Snowsight, Streamlit, Qlik, and SAP BusinessObjects to communicate insights effectively.
Advanced Coding Skills: Expert-level proficiency in SQL, Python, Shell, and Terraform, with a strong focus on performance, reusability, and maintainability.
Presentation & Communication: Strong technical and business presentation skills; able to identify and address gaps in data designs and processes with both internal and external
stakeholders.
Pipeline & Orchestration Tools: Hands-on experience with orchestration tools like Zena and AWS Managed Airflow.
Resilience & Adaptability: Proven ability to thrive in fast-paced, ambiguous, and high-pressure environments.
Mentorship & Leadership: A track record of mentoring Data Engineers at all levels, fostering a culture of engineering excellence and continuous improvement.
Customer-Centric Mindset: Passion for solving real-world problems using data-driven insights to deliver impactful business outcomes.
Collaborative Approach: Strong interpersonal and communication skills, with the ability to lead teams and influence cross-functional stakeholders.
Domain Knowledge: Familiarity with insurance industry processes and systems is a strong asset.
AI/ML & GenAI Exposure: Experience in operationalizing AI/ML & GenAI models is a plus.
Job Types: Full-time, Fixed term contract
Contract length: 12 months
Pay: $43.97-$70.17 per hour
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