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описание
EPAM is a global provider of digital platform engineering and software development services, helping clients transform their businesses through innovative technology solutions.
задачи
Design, develop, and optimize data pipelines using Azure Data Factory for orchestration;
Implement dbt Core for data transformation and modeling;
Create and maintain dimensional and relational data models for analytics and reporting;
Ensure data quality, consistency, and governance across squads;
Work with Snowflake for data storage and computation, including performance tuning;
Use GitHub for version control, branching strategies, and CI/CD automation;
Participate in agile ceremonies (stand-ups, sprint planning, retrospectives);
Collaborate closely with product owners, data analysts, and BI developers;
Assist in creating semantic layers and supporting BI tools, mainly Power BI;
Perform exploratory data analysis and provide insights when needed;
Maintain clear documentation for pipelines, models, and processes;
Adhere to coding standards and best practices.
требования
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field;
5+ Years of experience in data engineering roles;
Proficiency in SQL and data modeling (star schema, snowflake schema);
Hands-on expertise in Azure Data Factory, dbt Core, and Snowflake;
Familiarity with GitHub workflows and CI/CD pipelines;
Background in ETL/ELT design, data quality frameworks, and performance optimization;
Basic experience with Power BI and data visualization;
Capability to perform data analysis and interpret business requirements;
Flexibility to work in agile product mode across multiple squads, with exposure to agile methodologies and product-centric delivery;
Excellent communication and collaboration skills;
Upper-Intermediate (B2) or higher English proficiency;
Nice to have: Experience in data governance, metadata management, and data security, Knowledge of cloud architecture and cost optimization.
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