Design scalable big data pipelines as a Senior Data Engineer on a fully remote team, using Python, SQL, and cloud platforms.
This senior position supports advanced analytics and machine learning initiatives through reliable data infrastructure. You will build batch and real-time processing solutions, work with vast datasets, and improve data access. Collaboration with data scientists and analysts remains central to understanding requirements and delivering efficient systems.
Key Responsibilities
Design and optimize scalable batch and real-time data pipelinesBuild cloud data warehouses and data lakesImplement ETL and ELT processes from wide-ranging sourcesEnsure data quality, integrity, and reliabilityMonitor infrastructure and address performance issues proactivelyRequirements:
Six or more years in data engineering or related workBachelor's degree in Computer Science, Engineering, or related fieldBig data pipeline experience with Spark, Hadoop, or HiveProficiency in SQL and relational or NoSQL databasesPython, Scala, or Java programming skillsApply senior data engineering expertise across pipelines, cloud infrastructure, SQL, and big data processing in a remote setting.
📌 Senior Big Data Pipeline Engineer (Canada)
🏢 Placements24
📍 Canada
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