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Senior Python Data Engineer with AI

EPAM·Salary not specified

Primary stack

PythonPostgreSQLCI/CDFastAPIAPI

Nice to have's

Amazon RedshiftDatabricksETL/ELTApache AirflowPySparkGitHub Actions

Job description

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About the Position

We are seeking a highly skilled Senior Python Data Engineer with AI to join our dynamic team and play a pivotal role in building scalable, robust APIs and innovative backend solutions for generative AI applications.

This position will involve close collaboration with cross-functional teams to deliver high-performance, well-architected solutions aimed at solving complex problems.

Responsibilities

  • Develop and deploy scalable RESTful APIs to serve web apps and integrations with other software
  • Ensure API performance, scalability, and maintainability with focus on clear, concise code and robust logging/monitoring
  • Support and optimize database integrations, ensuring efficient data modeling and query performance
  • Collaborate with data engineers on pipelines and orchestration frameworks to deliver clean, organized data to APIs
  • Conduct thorough unit and integration testing in collaboration with testing teams
  • Review code from peers to ensure high-quality solutions and provide constructive feedback
  • Create and maintain technical documentation for solutions and Software Development Lifecycle (SDLC) processes
  • Apply modern software design best practices including version control, containerization, and scalable service design
  • Work collaboratively with product teams throughout all phases of the development lifecycle

Requirements

  • 5+ years of professional experience in Python-focused backend development
  • Extensive experience with at least one Python backend framework, such as FastAPI
  • Proficiency in asynchronous programming and advanced Python development
  • Expertise in relational database systems, including PostgreSQL and data modeling
  • Knowledge of RESTful API design principles and modern software development practices
  • Familiarity with scalable architecture patterns, containerization tools, and cloud-based operations
  • Extensive background in version control systems and CI/CD pipelines

Nice to Have

  • Knowledge of Amazon Redshift and Databricks for data engineering workflows
  • Background in ETL/ELT solutions for data transformation and loading
  • Skills in leveraging Apache Airflow for orchestration frameworks
  • Familiarity with PySpark and GitHub Actions for workflow automation and development pipelines

We Offer

  • Opportunity to work remotely from Ukraine
  • Be part of a leading tech company, EPAM Systems

About the Company

EPAM Systems is a global software engineering and product development company, delivering digital transformation and technology innovation to the world's leading companies.

© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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