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EPAM Systems

Senior Data Software Engineer

EPAM Systems
Argentina · Full-time · Mid-Senior
Join our remote team as a Senior Data Software Engineer and play a critical role in building and integrating data solutions. You will work closely with the data science team to take their models and make them production-ready. The ideal candidate will be an expert in Apache Spark, Microsoft Azure, and Python, with experience in forecasting models, data science, and MLOps. You will be responsible for designing, building, and maintaining data pipelines, as well as integrating new data sources into the existing technology stack.

Responsibilities


  • Collaborate with data scientists and other technical staff to design and develop scalable, reliable, and efficient data pipelines
  • Integrate new data sources into the existing technology stack
  • Write clean, maintainable, and well-documented code
  • Ensure the quality and accuracy of data by implementing data validation and monitoring processes
  • Deploy, manage, and monitor machine learning models in production
  • Work with cross-functional teams to identify and resolve data-related issues
  • Contribute to the development of best practices and standards for data engineering
  • Implement efficient data storage and retrieval mechanisms
  • Maintain and optimize existing data pipelines for maximum performance and scalability
  • Provide technical guidance and mentorship to junior team members


Requirements


  • 3+ years of experience in Data Software Engineering or related roles
  • Expertise in Apache Spark and Databricks for building scalable and high-performance data pipelines
  • Deep knowledge of Microsoft Azure for developing and deploying cloud-based solutions
  • Strong proficiency in Python for data analysis, modeling, and manipulation
  • Experience in forecasting models and statistical models for predicting future trends
  • Familiarity with Git for version control and collaboration
  • Knowledge of MLOps for deploying, managing, and monitoring machine learning models in production
  • Ability to work with complex data structures and large datasets
  • Excellent communication skills in spoken and written English, at an upper-intermediate level or higher


Nice to have


  • Experience with Panda for data manipulation and analysis
  • Knowledge of SQL and relational tables
  • Understanding of ML models and their practical applications


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




Key Skills

Ranked by relevance

machine learning python apache spark mlops data structures data analysis storage cloud git sql
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Posted
May 08, 2025
Type
Full-time
Level
Mid-Senior
Location
Argentina
Company
EPAM Systems

Industries

Software Development IT Services IT Consulting Retail

Categories

Information Technology Engineering Business Development

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