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Senior Data Software Engineer

EPAM Systems

Brasil

Teletrabalho

USD 60.000 - 100.000

Tempo integral

Há 4 dias
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Resumo da oferta

Join the remote team at a leading company as a Senior Data Software Engineer, where you'll design cutting-edge Big Data solutions. Work in a dynamic environment with international projects and opportunities for personal and professional growth, collaborating with top talent globally.

Serviços

Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling and certification courses
Unlimited access to LinkedIn Learning library
Global career opportunities
Community involvement opportunities
Award-winning culture

Qualificações

  • At least 3+ years of experience in Data Software Engineering.
  • Strong Data background in Big Data technologies.
  • Expertise in Azure Big Data Services and large-scale data processing.

Responsabilidades

  • Designing and implementing high-performance Big Data solutions.
  • Collaborating with cross-functional teams to optimize data platforms.
  • Providing technical leadership and guidance to team members.

Conhecimentos

Data Software Engineering
Big Data Technologies
Event-driven Architecture
Communication Skills

Ferramentas

Azure Data Factory
Databricks
Azure Data Lake
Python PySpark
Kafka
SQL

Descrição da oferta de emprego

1 week ago Be among the first 25 applicants

Join our remote team as a Senior Data Software Engineer. This role is perfect for a skilled software engineer with a passion for data, who enjoys working with the latest technologies and is ready to make a significant contribution to the development of advanced data platforms. Our team offers a dynamic and collaborative work environment that encourages innovation and creativity.

Responsibilities


  • Designing, implementing, and maintaining high-performance Big Data solutions
  • Collaborating with cross-functional teams to develop and optimize data platforms
  • Ensuring that data pipelines are scalable, reliable, and efficient
  • Providing technical leadership and guidance to team members
  • Working with stakeholders to understand their data needs and develop solutions to meet those needs
  • Identifying and resolving technical issues and bugs
  • Creating and maintaining technical documentation
  • Participating in code reviews and implementing best practices for software development
  • Staying up-to-date with the latest Big Data technologies and trends


Requirements


  • At least 3+ years of experience in Data Software Engineering
  • Expertise in building Data Platform at big companies
  • Experience with successful implementations of Big Data high-performance solutions
  • Strong Data background and primary skills in Big Data technologies
  • Knowledge of Event-driven architecture, and preferably experience in its implementation
  • Expertise in Azure Big Data Services, including Azure Data Factory, Databricks, Azure Data Lake, and Data API
  • Experience with Python PySpark and Kafka for large-scale data processing
  • Experience in SQL and database management
  • Ability to develop highly scalable and efficient systems
  • Excellent communication skills in spoken and written English, at an upper-intermediate level or higher


We offer


  • 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


Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology, Engineering, and Business Development
  • Industries
    Software Development, IT Services and IT Consulting, and Transportation, Logistics, Supply Chain and Storage

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