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SoftServe

Middle/Senior Big Data Software Engineer (Java + GCP)

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    Tech Stack / Изисквания

    ABOUT THE ROLE

    As a Middle Big Data Engineer, you will contribute to building enterprise-scale data solutions for a leading US healthcare provider focused on dialysis services. You will work within SoftServe’s Big Data & Analytics Center of Excellence, delivering scalable data products and supporting the evolution of modern data architectures across multiple business domains

    RESPONSIBILITIES

    • Design and develop scalable data processing pipelines using GCP services, ensuring reliability and performance for enterprise analytics use cases
    • Own data integration and transformation processes, improving data quality and enabling accurate, timely insights for healthcare operations
    • Collaborate with data architects, engineers, and business stakeholders to translate requirements into production-ready solutions
    • Build and maintain data workflows using Dataflow, BigQuery, Composer, and CloudSQL or similar cloud technologies
    • Optimize high-throughput data processing systems, balancing performance, scalability, and cost efficiency
    • Contribute to CI/CD pipelines, automation, and platform enhancements using GitLab CI or similar tools
    • Participate in proof-of-concept initiatives and help introduce new tools, technologies, and best practices into the data platform
    • Support the implementation of data mesh-inspired architecture and continuous improvement of data engineering practices

    REQUIREMENTS

    • Strong hands-on experience with Google Cloud Platform services, including BigQuery, Dataflow, Composer, and CloudSQL
    • Proficiency in Java and SQL for building data solutions and processing pipelines
    • Experience with schema migration tools such as Liquibase or Flyway
    • Solid understanding of data integration, databases, and data connectivity concepts
    • Familiarity with CI/CD tools such as GitLab CI and version control systems
    • Knowledge of Python scripting as an advantage
    • Understanding of ETL/ELT processes and modern data architectures like Data Lakehouse or Data Mesh is a plus
    • Upper-intermediate or higher English level for effective communication in global teams
    • Strong problem-solving skills, attention to detail, and ability to collaborate in a cross-functional environment

    SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.