About The Role
In this role, you will contribute to building a modern Enterprise Data Platform for a large US-based healthcare provider serving thousands of hospitals worldwide. You will work on cloud-native data solutions on Google Cloud Platform, helping improve data quality, analytics efficiency, and data-driven decision-making across the organization.
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
- Maintain and Improve Data Platform
- Integratу EDP with the new source of databases (Snowflake & Salesforce)
- Implement low-level design per integration with the source databases
- Extend platform code for new requirements (Terraform, CI, and tier tool infrastructure)
- Automate Data Governance or config generation by introducing AI workflows
- Document the new patterns
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
- 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
- Knowledge of Python scripting (as an advantage)
- Understanding of ETL/ELT processes and modern data architectures like Data Lakehouse or Data Mesh (as a plus)
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
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