Role Overview

Your role will involve creating scalable systems and robust data pipelines to manage and process complex datasets, supporting insightful analysis and innovative data-driven applications.

Responsibilities

• Design backend services and data pipelines to handle and process large-scale datasets from diverse sources.
• Collaborate with Product Managers and Engineers to create ML/AI-driven systems for actionable insights and workflow automation.
• Build APIs and internal tools to facilitate analytics, reporting, and real-time data visualizations.
• Define data models, governance policies, and standards to maintain data integrity and accessibility across teams.
• Optimize pipelines using techniques like indexing, caching, and asynchronous processing.
• Shape architectural decisions on event-driven systems, distributed workflows, and scalable job orchestration.
• Enhance CI/CD workflows, monitoring, and automation to ensure reliable and available data infrastructure.
• Contribute to discussions, code reviews, and retrospectives to encourage innovation and improvement.

Requirements

• 5+ years of experience with Python, Golang, or PHP for backend development.
• 5+ years of experience building and designing backend platforms and services.
• 3+ years of experience with data engineering tools such as Airflow, dbt, Spark, or Kafka.
• Knowledge of relational databases like MySQL, including data modeling, schema design, and performance tuning.
• Background in deploying ML/AI-based solutions for extensive data operations.
• Expertise in handling distributed systems and utilizing message queues or stream frameworks.
• Competency in developing APIs or services for advanced analytics and reporting.
• Proficiency in tools like Redis or Memcached and in technologies such as Docker for containerization.
• Familiarity with Linux environments and best practices in DevOps.
• Understanding of observability platforms like New Relic or Datadog.

We Offer

• International projects with top brands.
• Work with global teams of highly skilled, diverse peers.
• Healthcare benefits.
• Employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling, and certification courses.
• Unlimited access to the LinkedIn Learning library and 22,000+ courses.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• EPAM Employee Groups.
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.