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  • Data Engineer (Google Cloud)
    New
    Data

    Data Engineer (Google Cloud)

    Łódź
    7 196 - 7 620 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Google Cloud Platform

      advanced

      SQL

      advanced

      Python

      advanced

      Apache Spark

      advanced

      Terraform

      advanced

      English

      advanced

    Job description

    Online interview

    Responsibilities:

    •   Design, build, and optimize scalable data pipelines and architectures on Google Cloud Platform (GCP)

    •   Develop and maintain ETL/ELT workflows using tools like Dataflow, BigQuery, and Apache Beam

    •   Work with streaming data technologies (Pub/Sub, Kafka, Flink) to enable real-time analytics

    •   Implement data modeling strategies for structured and unstructured data

    •   Ensure data quality, governance, and security across all pipelines and storage solutions

    •   Optimize data warehouse performance using BigQuery partitioning, clustering, and query tuning

    •   Collaborate with data scientists, analysts, and software engineers to enable data-driven decision-making

    •   Automate deployment and monitoring of data workflows using Terraform, Cloud Composer (Airflow), and CI/CD pipelines

    •   Architect Level: Define and drive enterprise data strategies, lead cloud migration projects, and guide best practices in data lakehouse architectures



    Requirements:

    •   Senior: 5+ years of experience in data engineering and cloud-based data solutions

    •   Architect: 8+ years of experience with data architecture, cloud computing, and large-scale data processing

    •   Strong experience with Google Cloud services (BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub)

    •   Proficiency in SQL and Python for data processing and automation

    •   Hands-on experience with Apache Spark, Apache Beam, or similar big data frameworks

    •   Familiarity with modern data lake and warehouse architectures (Delta Lake, Lakehouse, Snowflake, etc.)

    •   Experience with Terraform, Kubernetes, and containerized data workloads

    •   Strong knowledge of data security, governance, and compliance best practices

    •   Excellent problem-solving skills and ability to work on complex, high-scale data challenges

    •   For Architect Level: Proven experience in enterprise data architecture, cloud migrations, and strategic leadership



    Offer:

    •   Workplace: 100% remote 

    •   MultiSport Plus

    •   Group insurance

    •   Medicover Premium

    •   e-learning platform

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    7 196 - 7 620 USD

    Net/month - B2B

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