Skip To Main Content
backBack to Search

Senior Data Engineer

Data Software Engineering, Python, Databricks, Amazon Web Services, Data Analysis, Data Modeling
warning.png
Sorry, this position is no longer available

We are seeking a highly skilled Senior Data Engineer to join our team and work remotely with one of the biggest American athletic footwear and apparel corporations. In this role, you will be responsible for developing, constructing, testing and maintaining high-performance data architecture. You will be required to have a deep understanding of data analysis, data modeling, and data warehousing. If you have a passion for data engineering, we encourage you to apply.

Responsibilities
  • Design, develop and maintain data-driven applications and systems
  • Develop and maintain data pipelines to facilitate efficient data processing and analysis
  • Create and execute data modeling and analysis strategies
  • Collaborate with cross-functional teams to analyze business requirements and design solutions that meet the needs of our clients
  • Identify and troubleshoot data integration and processing issues to maintain data integrity
  • Optimize and fine-tune data software solutions to ensure enhanced performance and scalability
  • Develop and maintain technical documentation for data software solutions
Requirements
  • Minimum of 3 years of experience in data engineering
  • Strong programming skills in Python
  • Solid understanding of database technologies, data integration and ETL processes
  • Proficiency in Amazon Web Services (AWS) and Databricks
  • Strong command of data analysis and modeling techniques
  • Ability to work remotely with excellent communication and collaboration skills
  • Proven track record in designing and implementing scalable, high-performance data-driven applications and systems
  • Fluent English language skills with an upper-intermediate level or higher
Nice to have
  • Experience with big data technologies such as Hadoop, Spark and Kafka
  • Experience with data governance and security best practices
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

These jobs are for you