Job Overview

We are looking for an accomplished Senior Software Engineer with expertise in data engineering to join our team.

Key Responsibilities

• Design and implement efficient backend services and pipelines for ingesting, transforming, and processing large-scale data from multiple sources.
• Collaborate with Product Managers and Engineers to develop ML/AI-powered systems that generate actionable insights and automate workflows.
• Build APIs and internal tools to support analytics, reporting, and real-time data visualizations.
• Define and maintain data models, governance policies, and quality standards to uphold data integrity and accessibility across teams.
• Optimize data pipelines through strategies like indexing, caching, and asynchronous processing.
• Drive architectural decisions around event-driven systems, distributed processing, and scalable job orchestration.
• Improve CI/CD workflows, observability, and automation for high availability and reliability of data infrastructure.
• Participate in technical discussions, code reviews, and retrospective sessions to ensure continuous improvement and innovation.

Requirements

• 3+ years of experience with Python, Golang, or PHP in backend development.
• 3+ years of experience designing and building backend platforms and services.
• 2+ years working with data engineering tools like Airflow, dbt, Spark, or Kafka.
• Knowledge of relational databases (e.g., MySQL) with experience in data modeling, schema design, and performance tuning.
• Background in implementing ML/AI-powered solutions for large-scale data processing.
• Expertise in using distributed systems, message queues, or stream processing frameworks.
• Competency in developing APIs or services for advanced analytics and reporting.
• Proficiency in caching tools like Redis or Memcached and containerization technologies such as Docker.
• Familiarity with Linux systems and DevOps practices.
• Understanding of observability tools like New Relic or Datadog.

What 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.