Proven experience designing modern data platforms and cloud-based data warehouse solutionsІнше · Обов’язково
Strong hands-on expertise with Snowflake, including data modeling, analytics workloads, and performance optimizationНавичка · Обов’язково
Experience designing and building ELT pipelines using dbt, SQL, and modern data engineering methodologiesНавичка · Обов’язково
Strong knowledge of AWS services and cloud-native technologies supporting data and analytics platformsНавичка · Обов’язково
Proficiency in SQL and Python for data engineering, automation, and data processingНавичка · Обов’язково
Experience with orchestration tools such as Apache Airflow or MWAAНавичка · Обов’язково
Solid understanding of data warehousing principles, dimensional modeling, and modern data architecture patternsІнше · Обов’язково
Familiarity with CI/CD practices, data quality validation frameworks, automated testing, and version control workflows
Навичка · Обов’язково
Strong collaboration, communication, and problem-solving skills with an ability to work effectively with cross-functional teamsІнше · Обов’язково
Upper-intermediate or higher level of EnglishМова · 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
In this role, you will help design and implement modern cloud-based data platforms that enable scalable analytics and data-driven decision-making. You will work with Snowflake, AWS, dbt, SQL, and Python to build reliable ELT solutions, collaborating with technical and business stakeholders throughout the full project lifecycle, from discovery and proof of concepts to production deployment.
Responsibilities
Design and support the implementation of scalable data platforms and analytics solutions using Snowflake and AWS services
Develop, optimize, and maintain ELT pipelines and data transformation workflows with dbt, SQL, and modern data engineering practices to ensure reliable and efficient data delivery
Partner with architects, engineers, and business stakeholders to gather requirements and translate business objectives into scalable technical solutions
Define data models, data warehouse architectures, and source-to-target mappings that support reporting, analytics, and data consumption needs
Support data ingestion, transformation, orchestration, and monitoring processes across cloud-based environments
Contribute to architecture discussions, platform evolution initiatives, and performance optimization efforts to improve scalability and maintainability
Implement data quality, governance, testing, and CI/CD practices to ensure trusted and production-ready data assets
Create and maintain technical documentation, architecture artifacts, and data models while participating in all project phases from discovery and PoCs to production implementation
Requirements
Proven experience designing modern data platforms and cloud-based data warehouse solutions
Strong hands-on expertise with Snowflake, including data modeling, analytics workloads, and performance optimization
Experience designing and building ELT pipelines using dbt, SQL, and modern data engineering methodologies
Strong knowledge of AWS services and cloud-native technologies supporting data and analytics platforms
Proficiency in SQL and Python for data engineering, automation, and data processing
Experience with orchestration tools such as Apache Airflow or MWAA
Solid understanding of data warehousing principles, dimensional modeling, and modern data architecture patterns
Familiarity with CI/CD practices, data quality validation frameworks, automated testing, and version control workflows
Strong collaboration, communication, and problem-solving skills with an ability to work effectively with cross-functional teams
Upper-intermediate or higher level of English
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.