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Senior Data Software Engineer
Sorry, this position is no longer available
Join our remote team as a Senior Data Software Engineer within a fast-paced and innovative company, focusing on cutting-edge technologies for data-driven applications. We are seeking a highly motivated and experienced engineer to work on development and deployment of data solutions. You will work closely with cross-functional teams to design, implement, and optimize data processing systems. This role offers an opportunity to make a significant impact on the company's growth, working with the latest technologies and contributing to the development of complex and scalable systems.
Responsibilities
- Design, develop and deploy data solutions for various business needs
- Collaborate with cross-functional teams to identify and address data-related challenges
- Develop and maintain data pipelines for data processing and analysis
- Ensure the quality, reliability, and scalability of data systems
- Develop data models and schemas for efficient data storage and retrieval
- Perform data analysis and provide insights to support business decisions
- Develop and maintain documentation for data systems and processes
- Perform code reviews and provide feedback to improve code quality and maintainability
- Stay up-to-date with the latest technologies and trends in data engineering and analytics
Requirements
- At least 3 years of experience in Data Software engineering and development
- Expertise in one of the languages (Python, Spark, PySpark, SQL) with knowledge on how to build both within dev and enabling deployment to production
- Proficient in SQL for data manipulation and analysis
- Experience working on one or more cloud platforms (Azure, GCP, AWS). Strong preference for Azure
- Expertise in Databricks for data processing and analytics
- Experience with Azure DevOps, GitHub, (or others) and version control for code management
- Experience with developing end-to-end production solutions
- Strong problem-solving skills with the ability to debug complex issues
- Experience with data engineering and analytical development
- Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
Nice to have
- Experience with RESTful APIs and integration with external systems
- Experience with machine learning and data science
- Experience with CI/CD tools such as Jenkins for automated deployment
- Experience with data visualization tools such as Power BI or Tableau
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