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Senior Data Engineer - (Python/Spark/SQL)

Job Location: Hybrid (3 days remote), Toronto, Canada

Experience: 4 to 7 Years

Rate: 65 to 72 CAD PH

Role Summary

NearSource is looking for a Senior Data Engineer to design and scale enterprise‑grade data platforms supporting high‑volume analytics and reporting. The role focuses on building resilient data pipelines and enabling data‑driven decision‑making for a Fortune 500 product company.

Key Responsibilities

- Architect and implement scalable data and analytics solutions aligned with business objectives
- Design and optimize batch and real‑time data pipelines for processing large‑scale datasets
- Drive the development of a robust data infrastructure to ensure reliability, scalability, and performance
- Execute ETL workflows and data transformation processes using modern data engineering tools
- Automate cloud infrastructure, monitoring, and observability to enhance operational efficiency
- Develop and maintain pipelines to improve deployment quality and velocity
- Collaborate with cross‑functional teams to gather requirements and deliver data‑driven solutions
- Analyze complex datasets to identify trends, insights, and optimization opportunities
- Deliver dashboards and reporting solutions for product, marketing, and business performance tracking
- Define and maintain key metrics, KPIs, and data models to support analytics initiatives




- Present technical insights and recommendations to both technical and non‑technical stakeholders
- Enable self‑service analytics through well‑designed dashboards and data access patterns

Must‑Have Skills

- Proficient in programming for data engineering and pipeline development
- Strong experience with Apache Spark, Spark SQL, and PySpark for large‑scale data processing
- Expertise in SQL and analytical data modeling, including dimensional modeling techniques
- Hands‑on experience with data warehousing platforms such as Snowflake and Hive
- Experience with ETL orchestration tools such as Apache Airflow
- Robust experience building dashboards using BI tools such as Power BI, Tableau, or Qlik
- Experience with version control systems and pipelines, including Git
- Hands‑on experience working with notebook environments such as Jupyter or Apache Zeppelin

Nice‑to‑Have Skills

- Familiarity with Looker for data visualization and reporting
- Experience with Presto for distributed querying
- Exposure to services for cloud‑based data infrastructure
- Experience working with large‑scale, real‑time data streaming systems

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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Apply on Kit Job: kitjob.ca/job/2g9di7

📌 Senior Data Engineer - (Python/Spark/SQL) (Toronto)
🏢 NEARSOURCE TECHNOLOGIES
📍 Toronto