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We are seeking a skilled Data Engineer to join our growing global team of professionals dedicated to tackling complex big data analytics challenges.
This role requires a motivated individual who thrives in dynamic environments and is passionate about designing and implementing cutting-edge solutions that drive data-driven decision-making.
Responsibilities
- Collaborate with stakeholders to understand business requirements and define technical solutions
- Develop scalable data pipelines and ETL processes to manage large datasets effectively
- Optimize database performance and ensure data integrity for analytical purposes
- Design and implement data models to support business needs and reporting structures
- Analyze and interpret complex datasets to uncover insights and trends
- Integrate various data sources, ensuring seamless communication between systems and platforms
- Leverage modern coding languages to build robust, secure, and maintainable applications
- Maintain documentation for technical processes, workflows, and system architecture
- Support Agile approaches for continuous development, testing, and deployment cycles
- Facilitate technical discussions to encourage best practices and innovative solutions
Requirements
- Bachelor's degree or equivalent in Computer Science, Data Science, or related disciplines
- 2+ years of professional experience in data engineering or related fields
- Proficiency in Python or TypeScript, with flexibility in modern coding practices
- Understanding of SQL and relational databases, competencies with database concepts
- Skills in data analytics and visualization to support decision-making processes
- Familiarity with frameworks such as Palantir Foundry, Scrum, and Agile principles
- Background in HTML, CSS, JavaScript, and Gradle for data-driven application development
- Knowledge of financial industry or insurance domain is a highly desirable asset
Nice to have
- Knowledge of Palantir Foundry and Microsoft Power BI
- Qualifications in PySpark and its use in large-scale data processing
- Showcase of experience with Machine Learning or Generative AI solutions
We offer/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