Back to SearchSenior Data Software Engineer
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Join our remote team as a Senior Data Software Engineer within a global leader in developing enterprise data platforms and data products. We are looking for a deeply technical software engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. 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 develop enterprise data platforms and data products using the Agile development process (Scrum)
- Prioritize and ensure high-quality standards at every stage of development
- Guarantee reliability, availability, performance, and scalability of systems
- 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 experience in building data platforms and data products at big companies
- Deep expertise in Databricks and Python for developing big data high-performance solutions
- Experience with Microsoft Azure Big Data Services for designing and building data solutions on Azure
- Knowledge and preferably experience with Event-driven architecture
- Strong development experience with big data and data background
- Experience in managing and optimizing data processing pipelines
- Experience in designing and developing ETL solutions
- Expertise in SQL and NoSQL databases for designing and managing database schema, including procedures, triggers, and views
- Experience with data analysis, data modeling, and data visualization tools
- Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
Nice to have
- Experience with other big data technologies such as Hadoop, Spark, and Kafka is a plus
- Experience with data governance, data security, and data privacy is a plus
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