At a Glance
- Tasks: Lead the development of high-performance data pipelines and mentor junior engineers.
- Company: Dynamic tech company in Markham, ON with a focus on innovation.
- Benefits: Competitive pay rate, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with strong emphasis on mentorship and agile practices.
- Why this job: Make an impact by delivering high-quality data solutions and driving engineering standards.
- Qualifications: 8+ years in data engineering with expertise in SQL, Python, and big data platforms.
The predicted salary is between 65 - 65 $ per hour.
- Senior Data Engineer
- Pay Rate: CAD$50 - $65/HR INC
Responsibilities
- 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.
Qualifications
- 8+ years of professional experience in data engineering with delivery of multiple high‑impact data projects.
- Deep expertise in relational databases such as Snowflake, Postgre SQL, and Amazon Aurora.
- Experience with big data platforms like Hadoop and No SQL databases such as Mongo DB.
- Advanced proficiency in data visualization tools such as Snowsight, Streamlit, Qlik, and SAP Business Objects.
- Expert‑level coding skills in SQL, Python, Glue, dbt, Shell, and Terraform.
- Experience with data orchestration and pipeline tools including Zeppelin and AWS Managed Airflow.
- Strong collaboration, communication, and leadership skills.
- Insurance domain knowledge is an asset.
- Prior experience in AI/ML model operationalization is an asset.
Certifications (Nice to Have)
- Snow Pro Core
- Snow Pro Advanced Data Engineer
- dbt Developer
- AWS Cloud Practitioner
Disclaimer: As part of our hiring process, we may use automated or AI‑based tools to support candidate screening and application review.
These tools are used to assist decision‑making and do not replace human judgment.
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Senior Data Engineer in Markham employer: Aarorn Technologies Inc
Join a dynamic team in Markham, ON, where as a Senior Data Engineer, you'll thrive in a collaborative and innovative work culture that prioritizes engineering excellence and professional growth. With opportunities to mentor fellow engineers and lead impactful data projects, you will be part of a company that values high-quality delivery and fosters an agile mindset. Enjoy competitive pay rates and the chance to work on cutting-edge technologies while contributing to meaningful data solutions.
