Senior Data Engineer: Scalable Pipelines & ML Ops
Peak Power Inc
14 days+
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Benefits offered by this job
Job summary
A leading cleantech company in Toronto is seeking a Senior Data Engineer to implement secure and scalable data pipelines. The ideal candidate will have a Bachelor's degree in software engineering or a related field, with over 5 years of experience using Python. Collaborating with cross-functional teams is essential to optimize data utilization and enhance business intelligence. The role offers a competitive salary of $100,000–$140,000 and comprehensive benefits, ensuring work-life balance and professional growth.
Qualifications
- 5+ years of experience as a data engineer, software engineer or similar technical role using Python.
- Experience deploying and maintaining containerized cloud applications.
- Experience with large-scale data processing frameworks.
Responsibilities
- Implement secure, reliable, and scalable data pipelines.
- Collaborate with software teams to document necessary data sources.
- Continuously improve data security, reliability, and scalability.
Skills
Analytical skills
Problem-solving
Interpersonal skills
Communication skills
Data security
Education
Bachelor's degree in software engineering or related field
AWS certifications or equivalent
Tools
Python
Postgres
Apache Airflow
Terraform
Apache Spark
Job description
A leading cleantech company in Toronto is seeking a Senior Data Engineer to implement secure and scalable data pipelines. The ideal candidate will have a Bachelor's degree in software engineering or a related field, with over 5 years of experience using Python. Collaborating with cross-functional teams is essential to optimize data utilization and enhance business intelligence. The role offers a competitive salary of $100,000–$140,000 and comprehensive benefits, ensuring work-life balance and professional growth.
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