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Remote Hybrid Senior Data Engineer at Techedin

Summary

Builds scalable data pipelines and analytics infrastructure in Python and Spark, automating ETL and delivering dashboards for business KPIs.

Techedin is seeking a Senior Data Engineer with expertise in Python and Spark for a hybrid role based in Toronto. This position involves building scalable data solutions and supporting analytics. As a Senior Data Engineer with over 5 years of experience, your skills will contribute to developing complex data pipelines and automating infrastructure solutions. You will work with teams to convert business requirements into data architectures and create insightful reports that reflect critical KPIs. Key Responsibilities: • Design scalable batch and real-time data pipeline solutions • Collaborate with product managers and analysts for insights • Develop dashboards to track key business metrics • Automate monitoring systems to enhance performance • Deliver ad-hoc analyses and ongoing data projects Requirements: • 5+ years of data engineering experience • Proficiency in Python, Spark, and SQL • Familiarity with Snowflake and data ETL tools • Strong analytical and presentation skills • Experience with CI/CD tools and coding best practices Apply your engineering expertise to enhance data strategy at Techedin.

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