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    Data Engineer - Toronto, Canada - Intersog

    Intersog
    Intersog Toronto, Canada

    3 days ago

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    Description

    Intersog is a Chicago-based provider of ROI-driven custom web and mobile development specializing in the delivery of full-service, end-to-end solutions, and project resources to Fortune 500 companies, SMEs, and startups. We help our clients attack their ambitious business goals, solve skills shortage issues, and become innovative by building Dedicated Software Development Teams in Mexico, Canada, the U.S.A., and Ukraine and/or providing on-demand IT project resources to complete required skills on their in-house teams.

    About the role

    We are looking for a Data Engineer passionate about shaping the future of data infrastructure and eager to tackle the challenges of big data in a dynamic, collaborative environment. A Data Engineer plays a pivotal role by developing and overseeing the frameworks and systems that process and store vast data volumes efficiently. This individual works in sync with data scientists, analysts, and various stakeholders to guarantee data accessibility, accuracy, and integrity for strategic insights and operational efficiency.

    Requirements

    • Bachelor's degree or higher in Computer Science, Data Science, or a related field.
    • Proficiency in languages such as Python, Java, or Scala and experience with big data frameworks (Hadoop, Spark, Kafka).
    • Familiarity with cloud platforms (AWS, Azure) and data integration tools.
    • A strong foundation in data ingestion, storage, orchestration, and management on cloud platforms, with a preference for Azure or AWS.
    • 3 to 5 years of experience in Data Engineering role.
    • Minimum 5+ relevant industry experience with Big data - Hive, Spark, Hadoop, queueing system like Apache Kafka/Rabbit MQ/AWS Kinesis
    • Hands on experience in building metadata-driven, reusable design patterns for data pipeline, orchestration, ingestion patterns (batch, real time);
    • Experience in designing and implementing solutions on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCP;
    • Hands on experience building CI/CD pipelines and awareness of practices for application monitoring.
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