Back to SearchSenior Big Data Engineer (Scala)
Data Software Engineering, Databricks, Databases, Scala, Microsoft Azure, Azure Data Factory, PySpark
Sorry, this position is no longer available
Join our team as a remote Senior Big Data Engineer and work with cutting-edge technologies to build scalable and efficient data solutions.
In this role, you will be responsible for designing, developing, and maintaining data pipelines and data processing systems. You will work closely with cross-functional teams to ensure data quality, optimize performance, and implement data governance policies. If you have a passion for data engineering and a strong technical background, we invite you to be part of our team.
Responsibilities
- Design, develop, and maintain data pipelines and data processing systems
- Collaborate with cross-functional teams to ensure data quality, optimize performance, and implement data governance policies
- Troubleshoot and resolve data-related issues, ensuring the smooth operation of data systems
- Implement and maintain data security and privacy policies
- Develop and maintain documentation for data pipelines and data processing systems
- Stay up-to-date with the latest data engineering technologies and best practices
Requirements
- A minimum of 3 years of experience in Data Software Engineering, demonstrating your expertise in building and maintaining data pipelines and data processing systems
- Strong knowledge of Databricks, Databases, and Microsoft Azure
- Experience with Azure Data Factory and PySpark
- Proficiency in Scala and other programming languages
- Strong understanding of data architecture and data modeling
- Experience in implementing data governance policies and ensuring data quality
- Excellent communication skills and strong critical thinking capabilities to effectively convey feedback and insights
- Good organizational skills and a detail-oriented mindset, crucial for meticulous data engineering efforts
- Fluent spoken and written English at an Upper-Intermediate level or higher (B2+)
Nice to have
- Experience with other big data processing frameworks such as Apache Spark or Hadoop
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