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 within a fast-paced and innovative company, focusing on cutting-edge technologies for data-driven applications. We are seeking a highly motivated and experienced engineer to work on development and deployment of data solutions. You will work closely with cross-functional teams to design, implement, and optimize data processing systems. This role offers an opportunity to make a significant impact on the company's growth, working with the latest technologies and contributing to the development of complex and scalable systems.

Responsibilities

Design, develop and deploy data solutions for various business needs
Collaborate with cross-functional teams to identify and address data-related challenges
Develop and maintain data pipelines for data processing and analysis
Ensure the quality, reliability, and scalability of data systems
Develop data models and schemas for efficient data storage and retrieval
Perform data analysis and provide insights to support business decisions
Develop and maintain documentation for data systems and processes
Perform code reviews and provide feedback to improve code quality and maintainability
Stay up-to-date with the latest technologies and trends in data engineering and analytics

Requirements

At least 3 years of experience in Data Software engineering and development
Expertise in one of the languages (Python, Spark, PySpark, SQL) with knowledge on how to build both within dev and enabling deployment to production
Proficient in SQL for data manipulation and analysis
Experience working on one or more cloud platforms (Azure, GCP, AWS). Strong preference for Azure
Expertise in Databricks for data processing and analytics
Experience with Azure DevOps, GitHub, (or others) and version control for code management
Experience with developing end-to-end production solutions
Strong problem-solving skills with the ability to debug complex issues
Experience with data engineering and analytical development
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

Nice to have

Experience with RESTful APIs and integration with external systems
Experience with machine learning and data science
Experience with CI/CD tools such as Jenkins for automated deployment
Experience with data visualization tools such as Power BI or Tableau

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