
Senior Data Engineer (Python, Spark, Snowflake)
NEARSOURCE TECHNOLOGIES
Full time
Software Development
Canada
Hiring from: Canada
Hybrid (3 days remote), Toronto, Ontario, Canada
Experience: 5+ Years
Role Summary: NearSource is looking for a Senior Data Engineer with expertise in Python, Spark, and Snowflake to join our engineering team in Toronto. The selected candidate will architect and scale data pipelines, enable analytics, and support critical business insights for a Fortune 500 client.
Key Responsibilities:
Architect and scale data infrastructure to support batch and real-time processing of billions of records
Break down complex problems, document technical solutions, and deliver iterative improvements
Automate cloud infrastructure, services, and observability for resilient data platforms
Develop and maintain CI/CD pipelines with robust testing automation
Partner with data engineers, scientists, and product managers to understand requirements and promote best practices
Design and optimize SQL-based solutions for analytics and business intelligence
Build reports, dashboards, and analytics to deliver actionable insights to stakeholders
Support analytics initiatives, including funnel metrics, campaign performance, segmentation, and revenue growth
Deliver clear presentation,s translating complex data problems into strategic insights
Must-Have Skills:
5+ years of experience in big data systems, data processing, and SQL databases
Strong proficiency with Spark data frames, Spark SQL, and PySpark
Hands-on programming expertise in Python and SQL, writing modular and maintainable code
Solid understanding of SQL, dimensional modeling, and analytical data warehouses (Hive, Snowflake)
Experience with ETL workflow management tools such as Airflow
Proficiency in BI and dashboarding tools including PowerBI, Tableau, or Qlik
Experience with version control and CI/CD pipelines (Git, Jenkins)
Proficiency with notebook solutions such as Jupyter, EMR Notebooks, or Apache Zeppelin
Nice-to-Have Skills:
Familiarity with Presto and AWS cloud services
Knowledge of Looker for BI and dashboard development
Experience in distributed systems reliability and resiliency engineering
Exposure to observability and monitoring frameworks
Certifications / Education: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent training and experience)
Apply now, or share your resume with salary expectations at [email protected]. Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.
About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.
Equal Opportunity Statement: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.
Experience: 5+ Years
Role Summary: NearSource is looking for a Senior Data Engineer with expertise in Python, Spark, and Snowflake to join our engineering team in Toronto. The selected candidate will architect and scale data pipelines, enable analytics, and support critical business insights for a Fortune 500 client.
Key Responsibilities:
Architect and scale data infrastructure to support batch and real-time processing of billions of records
Break down complex problems, document technical solutions, and deliver iterative improvements
Automate cloud infrastructure, services, and observability for resilient data platforms
Develop and maintain CI/CD pipelines with robust testing automation
Partner with data engineers, scientists, and product managers to understand requirements and promote best practices
Design and optimize SQL-based solutions for analytics and business intelligence
Build reports, dashboards, and analytics to deliver actionable insights to stakeholders
Support analytics initiatives, including funnel metrics, campaign performance, segmentation, and revenue growth
Deliver clear presentation,s translating complex data problems into strategic insights
Must-Have Skills:
5+ years of experience in big data systems, data processing, and SQL databases
Strong proficiency with Spark data frames, Spark SQL, and PySpark
Hands-on programming expertise in Python and SQL, writing modular and maintainable code
Solid understanding of SQL, dimensional modeling, and analytical data warehouses (Hive, Snowflake)
Experience with ETL workflow management tools such as Airflow
Proficiency in BI and dashboarding tools including PowerBI, Tableau, or Qlik
Experience with version control and CI/CD pipelines (Git, Jenkins)
Proficiency with notebook solutions such as Jupyter, EMR Notebooks, or Apache Zeppelin
Nice-to-Have Skills:
Familiarity with Presto and AWS cloud services
Knowledge of Looker for BI and dashboard development
Experience in distributed systems reliability and resiliency engineering
Exposure to observability and monitoring frameworks
Certifications / Education: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent training and experience)
Apply now, or share your resume with salary expectations at [email protected]. Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.
About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.
Equal Opportunity Statement: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.
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