5+ years of commercial experience as a Java Software Engineer with a strong focus on Data EngineeringНавичка · Обов’язково
2+ years of practical work experience with Google Cloud Platform and services such as Dataflow, BigQuery, Composer, and Cloud SQLНавичка · Обов’язково
Strong SQL skills and solid experience with databases, data integrations, and connectivity patternsНавичка · Обов’язково
Practical knowledge of schema migration tools such as Liquibase or FlywayІнше · Обов’язково
Experience working with CI/CD tools, preferably GitLab CIНавичка · Обов’язково
Understanding of building and maintaining ETL or ELT data pipelinesІнше · Обов’язково
Upper-intermediate or higher English level with the ability to communicate effectively in international teamsМова · Обов’язково
Strong collaboration skills, ownership mindset, and readiness to work on enterprise-scale solutions
Інше · Обов’язково
SoftServe is an equal opportunity employer.Інше · Обов’язково
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.Інше · Обов’язково
Python scripting skills and knowledge of modern data architectures are a plusНавичка · Буде плюсом
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
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.