Back to SearchSenior Data Software Engineer
Data Software Engineering, Apache Spark, Microsoft Azure, Python, Forecasting Models, Data Science, MLOps, Databricks
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Join our remote team as a Senior Data Software Engineer. As a hands-on engineer, you will work closely with data scientists and other technical staff to develop and optimize features, ensuring the solution is production-ready. You will also have the opportunity to collaborate with product leadership and other stakeholders to create innovative and impactful solutions in a dynamic Agile development environment.
Responsibilities
- Collaborate with data scientists and technical staff to ensure that data integration solutions are production-ready
- Design and develop new features using the Agile development process (Scrum)
- Prioritize and ensure high-quality standards at every stage of development
- Guarantee reliability, availability, performance, and scalability of data systems
- Maintain and troubleshoot code in large-scale, complex environments.
- 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 experience in Data Software Engineering, with a focus on building and deploying data integration solutions
- Deep expertise in Apache Spark and Databricks for building scalable and high-performance applications
- Hands-on experience with Microsoft Azure for cloud-based infrastructure and application management
- Expertise in Python for developing data integration solutions, including Forecasting Models and MLOps
- Experience with Data Science, including knowledge of ML and statistical models
- Familiarity with Git for version control, integration, and deployment
- Excellent troubleshooting and problem-solving skills to support applications and systems in a production environment
- Experience with SQL Databases for designing and managing database schema, including procedures, triggers, and views
- Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
Nice to have
- Knowledge of Pandas for data manipulation is a plus
- Familiarity with basic Azure concepts such as clouds, regions, ADLS, and compute
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