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    Data Integration Implementation Engineer - Toronto, ON, Canada - Lightci

    Lightci
    Lightci Toronto, ON, Canada

    1 week ago

    Default job background
    Description
    Lightci (Light Consulting) is a full-service engineering & talent solution created for engineers, by engineers.

    We build and ship products for clients like Google, Meta, Brex, and Walmart - and help Fortune 500 companies grow by way of full team construction, staff augmentation, executive search, and tailored recruitment to address unique hiring needs.

    We are seeking a Senior Data Integration Engineer to spearhead the design and implementation of data integration solutions, ensuring seamless flow of information across systems.

    You'll collaborate closely with stakeholders, optimize workflows, and stay at the forefront of data integration technologies to drive efficiency and innovation.

    Design, develop, and maintain robust data integration solutions to ensure seamless data flow across heterogeneous systems
    Collaborate closely with stakeholders to gather requirements and translate them into scalable data integration pipelines
    Implement efficient ETL processes to extract, transform, and load data from diverse sources into target systems
    Optimize data integration workflows for performance, reliability, and scalability.
    Troubleshoot and resolve data integration issues promptly to minimize disruptions to business operations
    Champion best practices in data integration, ensuring data quality, consistency, and security
    Stay abreast of emerging technologies and industry trends in data integration, evaluating and integrating them into existing systems where beneficial
    Provide mentorship and technical guidance to junior members of the data engineering team
    5+ years of hands-on experience in designing and implementing complex data integration solutions
    ~ Proficiency in SQL and experience with relational databases like PostgreSQL, MySQL, or Oracle
    ~ Strong programming skills in Typescript and Python
    ~ Extensive experience with data integration tools and platforms such as Apache NiFi, Talend, Informatica, or equivalent
    ~ Deep understanding of data warehousing concepts, data modeling, and ETL principles
    ~ Familiarity with cloud platforms like AWS, Azure, or GCP and their data services
    ~ Experience with big data technologies such as Hadoop, Spark, or Kafka
    ~ Knowledge of data governance principles and practices
    ~ AWS Certified Data Analytics – Specialty, Informatica Certified Professional)
    ~ Bachelor's degree in Computer Science, Engineering, or a related field

    100% fully remote work (anywhere in North America)
    ~ Flexible hours
    ~ LI-Remote
    #
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