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Senior Data Engineer

Remote in Portugal
Data Integration
& 16 others

We are seeking a skilled Senior Data Engineer to join our expanding global team of professionals committed to solving complex big data challenges.

This role is suited for an individual who excels in fast-paced environments and is passionate about developing and deploying advanced solutions that enable data-driven strategies.

Responsibilities
  • Collaborate with stakeholders to define business requirements and identify technical solutions
  • Build scalable data pipelines and ETL processes for effective dataset management
  • Improve database performance and uphold data integrity for analytics purposes
  • Create and implement data models aligned with business needs and reporting goals
  • Interpret complex datasets to derive insights and identify patterns
  • Integrate data sources, ensuring smooth interaction across systems and platforms
  • Utilize modern coding languages to develop secure and durable applications
  • Document technical workflows, processes, and system architecture comprehensively
  • Support Agile methods to enhance development, testing, and deployment cycles
  • Lead technical discussions to promote best practices and innovative approaches
Requirements
  • Bachelor's degree or equivalent in Computer Science, Data Science, or related fields
  • 3+ years of experience in data engineering or related disciplines
  • Proficiency in Python or TypeScript and flexibility with current coding methodologies
  • Understanding of SQL and relational databases, along with competency in database design
  • Skills in data analytics and visualization to inform decision-making efforts
  • Familiarity with frameworks like Palantir Foundry, Scrum, and Agile workflows
  • Background in HTML, CSS, JavaScript, and Gradle for creating data-driven applications
  • Knowledge of financial industry or insurance domain as an added advantage
Nice to have
  • Background in Palantir Foundry and Microsoft Power BI
  • Expertise in leveraging PySpark for large-scale data operations
  • Proficiency in 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