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SoftServe
Open role>14 days

Senior Java Software Engineer (Data + GCP)

SoftServeUkraine
Work model
Hybrid
Experience
5+ years
Employment
Full Time
Compensation
Not disclosed
Technology signal
11 tags

Technology context

11

Parsed from the vacancy text; ordered by relevance to this role.

DatabasesJavaPythonGCPCloud NativeCloudReliability EngineeringScalabilityCI/CDAutomationSQL

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Role description

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, build, and maintain scalable data processing pipelines on Google Cloud Platform to support enterprise analytics use cases
  • Take ownership of data engineering components that improve data quality, reliability, and performance across the platform
  • Collaborate closely with data engineers, architects, and business stakeholders to translate requirements into production-ready data solutions
  • Develop and optimize batch and streaming pipelines using Dataflow and related GCP services
  • Work with SQL-based data modeling and integrations across BigQuery, CloudSQL, and other data sources
  • Support schema versioning and database changes using migration tools such as Liquibase or Flyway
  • Contribute to CI/CD pipelines and automation using GitLab CI or similar tools
  • Participate in proof-of-concept initiatives, platform optimization, and the adoption of modern data architectures such as data mesh or lakehouse

REQUIREMENTS

  • 5+ years of commercial experience as a Java Software Engineer with a strong focus on Data Engineering
  • 2+ years of practical work experience with Google Cloud Platform and services such as Dataflow, BigQuery, Composer, and Cloud SQL
  • Strong SQL skills and solid experience with databases, data integrations, and connectivity patterns
  • Practical knowledge of schema migration tools such as Liquibase or Flyway
  • Experience working with CI/CD tools, preferably GitLab CI
  • Understanding of building and maintaining ETL or ELT data pipelines
  • Python scripting skills and knowledge of modern data architectures are a plus
  • Upper-intermediate or higher English level with the ability to communicate effectively in international teams
  • Strong collaboration skills, ownership mindset, and readiness to work on enterprise-scale solutions