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One of Stellar’s industry-leading clients is on the hunt for a talented Senior Data Engineer to join their team on a 6 month contract in Richmond, BC In this role, the successful applicant will be responsible for designing and building data sharing platform with strong exposure with Azure and Databrick. If this sounds like a role that you or someone you know would be interested in learning more about, we want to hear from you Apply now or get in touch at apply@stellar-recruitment.com to reach our recruitment team directly.Responsibilities:Design and implement robust, highly performant, and scalable streaming data pipelines using Python and Spark.Design, implement, and support data pipelines that meet business needs, including defining data models, data contracts, data quality requirements, and model features.Bring an understanding of fundamental software development standards and practices, cloud infrastructure, and security practices.Provide technical leadership in data processing, governance, and data modeling.Conduct reviews of processes, code, and data pipeline designs.Qualifications:5+ years of experience as a Data Engineer.4+ years of experience with Python.4+ years of experience with Apache Spark.Experience with Databricks.Familiarity with ETL and data integration tools.Experience with cloud (Azure preferred).