Back to SearchSenior Data Software Engineer
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Join our remote team as a Senior Data Software Engineer within a leading tech firm. In this role, you will be responsible for designing, building, and optimizing robust data pipelines to support our cutting-edge applications. The successful candidate will have deep expertise in one of the languages (Python, Spark, PySpark, SQL) and be able to build within dev and enable deployment to production. We are seeking a thoughtful and reliable engineer who is capable of tying together solutions across systems and delivering end-to-end production solutions.
Responsibilities
- Design and implement scalable data pipelines to support our cutting-edge applications
- Ensure data quality and data accuracy across all stages of data processing
- Collaborate with cross-functional teams to understand business requirements and develop solutions that meet their needs
- Develop and maintain codebase in accordance with industry best practices and standards
- Troubleshoot and resolve issues in a timely and effective manner
- Optimize data processing algorithms and improve application performance
- Ensure compliance with data security and data privacy regulations
- Conduct code reviews and ensure high code quality and compliance with standards and guidelines
- Participate in architectural and technical discussions to help shape the product roadmap
- Stay up-to-date with emerging trends and technologies in data engineering and analytics
Requirements
- At least 3+ years of experience as a Data Software Engineer or in similar roles
- Expertise in one of the languages (Python, Spark, PySpark, SQL) for building scalable and high-performance applications
- Experience with Microsoft Azure for cloud-based infrastructure and application management
- Experience using Databricks for building robust data pipelines
- Experience using Azure DevOps, GitHub, or other version control systems
- Familiarity with developing end-to-end production solutions
- Ability to tie loose ends together for solutions across systems
- Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
Nice to have
- Experience with GCP and AWS cloud platforms
- Experience with Apache Kafka and Apache Beam for building data pipelines
- Experience with machine learning and data science tools and frameworks
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