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описание
EPAM builds enterprise software products, open source solutions, and accelerators, supporting global consulting and advisory services through data-centric products, analytics, reporting, and enterprise decision-making solutions.
задачи
Design and deliver Python services and data pipelines using FastAPI and background jobs;
Build and tune data processing and reporting components with Pandas, Polars, DuckDB, and openpyxl;
Develop end-to-end ETL/ELT workflows and connect them to analytics platforms;
Work with orchestration tools such as Airflow, dbt, and Streamlit;
Define scalable data architectures using data lakes, medallion architecture, and star schema;
Contribute to Azure cloud-native implementations using Container Apps, Storage, Service Bus, and SignalR;
Implement and operate CI/CD pipelines using GitHub Actions;
Apply Infrastructure as Code with Bicep, Terraform, and CDK to automate environments;
Leverage AI-assisted development tooling like GitHub Copilot and Claude in spec-driven workflows;
Collaborate with engineering, data, and business teams to deliver outcomes across domains.
требования
5+ Years of experience with Python, including FastAPI, data processing, and backend services;
Hands-on experience with Pandas, Polars, DuckDB, and Excel processing workflows;
Solid background in ETL/ELT data pipeline patterns;
Deep understanding of data modeling approaches, including star schema and medallion architecture;
Ability to build distributed systems and design robust APIs;
Practical experience across the Azure ecosystem, including compute, storage, and messaging;
Working knowledge of CI/CD and DevOps practices in production teams;
Strong system design and problem-solving skills;
Consulting mindset with the ability to align multiple stakeholders and priorities;
English proficiency at B2 (Upper-Intermediate) level or higher;
Nice to have: Experience with Airflow, dbt, and/or Streamlit in production settings, knowledge of Snowflake features such as streams, tasks, time travel, and stored procedures, experience with event-driven architectures and messaging systems, familiarity with .NET for legacy systems integration, frontend exposure using Angular or Next.js, experience with distributed processing and async workflows.
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