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  • Senior/Mid Big Data Engineer (Scala or PySpark)
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    Senior/Mid Big Data Engineer (Scala or PySpark)

    Kraków
    3 707 - 5 297 USD/monthGross per month - Permanent
    3 707 - 5 297 USD/monthGross per month - Permanent
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    Permanent
    Operating mode
    Hybrid

    Tech stack

      PySpark

      regular

      Python

      regular

      Scala

      regular

      Big Data

      regular

    Job description

    Online interview

    Currently We are looking for Big Data Engineer for one of our clients based in Kraków. The role is hybrid 2 days a week in Kraków office.


    OUR ROLE & RESPONSIBILITIES

    • Architect, implement, and optimize data processing pipelines using Scala or PySpark, Hadoop, and SQL for both real-time and batch data workflows.
    • Partner with various teams to assess data requirements, designing scalable and high-performance solutions tailored to business objectives.
    • Enhance and fine-tune Spark-based data processing to ensure optimal efficiency, reliability, and scalability.
    • Maintain high data integrity, security, and governance across all stages of the data lifecycle.
    • Diagnose and resolve technical challenges in data workflows, minimizing downtime and business disruptions.
    • Keep up with the latest advancements in big data technologies, contributing to innovation and process improvements.
    • Create and maintain thorough documentation, including system designs, deployment strategies, and operational procedures.
    • Support and mentor junior team members, fostering knowledge-sharing and skill development.


    TECHNOLOGY STACK:

    • Core Technologies: Scala or PySpark, SQL, Hadoop.
    • Bonus Skills: Experience with cloud-based messaging systems (e.g., Kafka, SQS), Apache Stack, and CI/CD practices.


    WHAT YOU BRING TO THE TEAM:

    • A minimum of 3-4 years of hands-on experience in data engineering or big data engineering roles.
    • A degree in Computer Science, Mathematics, Engineering, or a related field, along with relevant industry experience.
    • Strong SQL expertise, including advanced query optimization and database structuring.
    • Proficiency in Scala, with a solid understanding of Object-Oriented Programming principles.
    • Practical experience working with Spark and Hadoop ecosystems.
    • Familiarity with Agile methodologies such as Scrum for efficient project execution.
    • A keen interest in financial services and data-driven market analysis.
    • Bonus: Exposure to Google Cloud Platform (GCP) or similar cloud-based data solutions.
    • Excellent communication skills in English, with the ability to articulate technical concepts clearly.
    • A proactive mindset, strong problem-solving skills, and a positive, team-oriented attitude.


    3 707 - 5 297 USD/month

    Gross per month - Permanent

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