Overview

This position is for a Senior Data Software Engineer to work remotely. The candidate should have strong expertise in Apache Spark, Microsoft Azure, and Python. You will contribute to a high-profile project for a globally recognized brand, focusing on developing advanced data solutions.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and maintain data integration solutions.
• Create and optimize data pipelines using Apache Spark, Microsoft Azure, and Python.
• Ensure data pipelines are robust, scalable, and easy to maintain.
• Transform data science models into production-ready systems.
• Build and manage forecasting models to support critical business decisions.
• Ensure consistent data quality and integrity across all sources.
• Monitor and refine data pipelines to improve performance and efficiency.
• Partner with data scientists to design and deploy machine learning models.
• Continuously enhance data integration solutions to meet evolving business needs.
• Stay updated on the latest technologies and trends in data software engineering.

Requirements

• At least 3 years of experience in data software engineering or a similar role.
• Expertise in Apache Spark, Microsoft Azure, and Python.
• Strong knowledge of forecasting models, MLOps practices, and data science principles.
• Hands-on experience with Databricks for creating and optimizing data pipelines.
• Proven ability to operationalize data science models for production environments.
• Proficiency with Git for version control and collaboration.
• Solid understanding of Azure concepts like clouds, regions, ADLS, and compute services.
• Exceptional analytical and problem-solving skills with a creative approach to technical challenges.
• Experience working in Agile development environments.
• Advanced English communication skills, both written and verbal, at a B2+ level.

Nice to have

• Experience with Panda for data manipulation and analysis.
• Advanced knowledge of SQL and relational database systems.
• Understanding of statistical models and experience developing them with Python or Spark.
• Familiarity with tools and technologies related to machine learning.

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 with 22,000+ courses.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• EPAM Employee Groups.
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.