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  • Senior Data Engineer IRC228662
    Data

    Senior Data Engineer IRC228662

    Kraków
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent
    Operating mode
    Remote

    Tech stack

      AWS

      advanced

      DevOps

      advanced

      PySpark

      advanced

      Databricks

      advanced

      SQL

      advanced

      Scala

      advanced

      Jira

      regular

    Job description

    Online interview

    We are looking for a talented Senior Data Engineer to join the Data Engineering team focusing on the Connected and Instrumented Vehicles Data Platform. We are a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate. 


    What does it mean for your opportunities? You will be able to shape the future of mobility!


    If you have a feeling, even slightly, that this is something for you – don’t hesitate any more.


    Our fantastic recruitment team will provide you with more information and guide you through the process. Apply now, there is no time to lose!


    Requirements:

    • Experience in data engineering and managing data at scale.
    • Working knowledge of at least two of the following: PySpark, Scala, SQL.
    • Minimum of 6 years of relevant experience.
    • Working knowledge of AWS Cloud and the Databricks platform, with experience using operational tools such as quality frameworks, reporting tools, JIRA, and Confluence.
    • Focus on action, self-driven attitude, and strong execution skills.
    • Strong collaboration skills and a proactive approach to implementing and continuously improving systems.


    Responsibilities:

    • Develop and implement data pipelines between various internal source systems and the AWS cloud.
    • Automate data flow, continuously improving performance and quality for the petabyte (120 PB) scale data warehouse.
    • Work closely with data scientists and AI engineers to optimize code and build production applications.
    • Manage data and your products as assets in a DevOps environment.
    • Engage in daily collaboration with other Data Engineers, Data Governance, Data Producers, and the Platform Team.


    What We Offer

    Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

    Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

    DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

    Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

    Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

    Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.



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