Techedin is hiring a Senior Data Engineer for their Toronto office with a hybrid work setup. Focus on large-scale data processing and building scalable solutions.
In this key role, the Senior Data Engineer will utilize over 5 years of experience to design and implement scalable data pipelines. You will address complex data challenges, automate workflows, and collaborate with data scientists and product managers to extract insights that drive business value. Your contributions will enhance data-driven decision-making across the organization.
Key Responsibilities:
- Design scalable data solutions for business needs
- Solve intricate data engineering problems with creative solutions
- Collaborate with cross-functional teams on analytics projects
- Automate cloud workflows and improve data processes
- Develop CI/CD pipelines to ensure code quality
Requirements:
- 5+ years of data engineering experience
- Proficient in Python, Spark (PySpark), and SQL
- Hands-on with Snowflake and Hive
- Experience building ETL workflows using Airflow
- Familiarity with BI tools like Tableau or Qlik
Shape data strategies and support insightful analyses at Techedin, a company committed to diversity and excellence.
Senior Data Engineer Role in Toronto employer: Techedin
TechedIn is an exceptional employer that fosters a collaborative and innovative work culture, allowing Data Platform Engineers to thrive in a fully remote environment. With a strong emphasis on employee growth, TechedIn offers opportunities for professional development and the chance to work alongside a diverse global team, making it an ideal place for those seeking meaningful and rewarding employment in the data engineering field.
