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Data Engineer

Experis — Canada · Posted ~5 hours ago

Contract Hybrid Visa History ✓

Skills

Databricks Apache Spark data engineering data transformation data pipelines data ingestion troubleshooting data processing

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Summary ✨ AI‑Generated

A contract data engineering role focused on designing, developing, and optimizing scalable data processing solutions. You will build Spark-based transformation jobs, create ingestion and transformation workflows, maintain reusable data-processing capabilities, and troubleshoot production workloads. The engagement is initially for several months with potential renewal and follows a hybrid working model.

Highlights

A defined contract engagement with potential renewal, focused on scalable data processing, reusable pipelines, optimization, and hands-on work with Databricks and Apache Spark.

Description

Data Engineer (Databricks / Apache Spark) Contract Term: 7 months, renewal Work Location: Toronto, ON. hybrid Service Description: Provide data engineering services to design, develop, and optimize data processing solutions using Databricks and Apache Spark. Support the development of scalable data transformation and processing capabilities to meet project requirements. Role Description Design, develop, and maintain data processing solutions using Databricks.Develop and optimize Apache Spark jobs for data transformation and processing.Collaborate with project team members to support data engineering requirements and delivery activities.Troubleshoot and resolve issues related to Databricks and Spark workloads.Support the implementation and enhancement of data pipelines and data processing frameworks. Deliverables Databricks notebooks and data processing solutions.Apache Spark data transformation jobs.Data ingestion and transformation workflows.Optimized and reusable data engineering code.Unit-tested data processing components.Technical documentation of implemented data engineering solutions.Support for deployment and issue resolution activities. Required Qualifications / Experience Strong experience with DatabricksStrong experience with Apache Spark