We are seeking a highly skilled Lead Data Software Engineer to join our remote team, working on a project for a German logistics company that provides courier, package delivery, and express mail service, delivering over 1.8 billion parcels per year. In this role, you will lead a team of data software engineers to design, develop and maintain scalable data solutions that meet the company's business needs. If you possess strong leadership skills and a proven track record in data software engineering, we encourage you to apply.

Responsibilities

• Lead a team of data software engineers to design, develop, and maintain scalable data solutions that meet the company's business needs
• Collaborate with cross-functional teams to identify and analyze data requirements, design data models, and develop data integration solutions
• Ensure the security, reliability, and scalability of data solutions by implementing industry best practices
• Create, maintain and improve data pipelines to facilitate accurate and efficient data transfers
• Participate in the development of project plans, timelines and budgets
• Perform code reviews and ensure adherence to coding standards and best practices
• Provide technical guidance and mentorship to team members to enhance their skills and knowledge
  
  
  

Requirements

• Minimum of 5 years of relevant work experience in Data Software Engineering role
• At least 1 year of experience in a leadership role
• Expertise in Python programming
• Comprehensive understanding of Data Modeling concepts and techniques
• Proficiency in Amazon Web Services (AWS), Snowflake and other cloud-based data warehousing solutions
• Strong command of SQL and experience with databases like MySQL, PostgreSQL and Oracle
• Excellent communication and collaboration skills to work in cross-functional teams
• Bachelor's or Master's degree in Computer Science, Information Systems or a related field
• Fluent English language skills with an Upper-Intermediate level
  
  
  

Nice to have

• Experience with Big Data technologies such as Hadoop, Spark and Kafka
• Familiarity with Docker and Kubernetes
  
  
  

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