Senior Data Software Engineer

Remote in Dominican Republic,

Data Software Engineering

Location-specific conditions & benefits*

Dominican Republic

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

Benefits

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