Senior Big Data Software Engineer (GCP)

As a Senior 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.

• Design, develop, and maintain scalable data integration and transformation solutions, including onboarding new data sources such as Snowflake and Salesforce into the Enterprise Data Platform (EDP)
• Create low-level designs for data integrations and implement reliable, production-ready data pipelines using GCP services, ensuring high data quality, performance, and availability
• Build, enhance, and support data workflows and platform components leveraging technologies such as Dataflow, BigQuery, Composer, Cloud SQL, Terraform, CI/CD, and related cloud infrastructure tools
• Collaborate with data architects, engineers, and business stakeholders to translate business requirements into scalable technical solutions and actionable insights
• Optimize data processing systems and platform services for performance, scalability, reliability, and cost efficiency
• Contribute to the evolution of the data platform by introducing new technologies, best practices, automation, and AI-driven approaches for data governance and configuration management
• Support implementation of data mesh principles, continuous improvement initiatives, and modernization of data engineering practices across the platform
• Produce technical documentation, knowledge transfer materials, and reusable implementation patterns to support long-term platform sustainability
• Participate in proof-of-concept activities and technical evaluations to validate new solutions and capabilities

• Strong hands-on experience gained over 6+ years of working as Data Engineer
• Strong hands-on experience with Google Cloud Platform services, including BigQuery, Dataflow, Composer, and Cloud SQL, gained over 2+ years of practical work
• Proficiency in Python or Java for creating pipelines
• Strong hands-on experience with 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
• Exposure to Snowflake data platform
• Familiarity with CI/CD tools such as GitLab CI, Terraform and version control systems
• Understanding of ETL/ELT processes and modern data architectures like Data Lakehouse/Data Mesh
• Attention to detail, strong sense of ownership and problem-solving skills, ability to collaborate in a cross-functional environment
• Upper-intermediate or higher English level for effective communication in global teams