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 leading provider of AI-based solutions for industries. We are seeking a hands-on developer with deep expertise in building data pipelines, deploying to production, and working within a cloud platform. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

Responsibilities

Design and implement data pipelines using the Agile development process (Scrum)
Ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of data pipelines
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

Requirements

At least 3 years of production experience in Data Software Engineering
Be hands-on with deep expertise in cloud-based platforms, with a strong preference for Microsoft Azure
Deep expertise in one or more of the following languages: Python, Spark, PySpark, SQL, with knowledge on how to build both within dev and enabling deployment to production
Experience building out robust data pipelines
Experience using Databricks for data engineering and processing
Experience using Azure DevOps, GitHub, or other version control tools
Experience with developing end-to-end production solutions
Ability to tie loose ends together for solutions across systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

Nice to have

Experience with big data technologies such as Hadoop, Hive, and Kafka
Experience with Azure Data Factory or other ETL tools

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