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Senior Data Software Engineer

Data Software Engineering, Databricks, Python, PySpark, Microsoft Azure, SQL Azure
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Sorry, this position is no longer available

Join our remote team as a Senior Data Software Engineer. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

Responsibilities
  • Set up required Azure services
  • Extract data from the data lake (EDL)
  • Process data based on application requirements and architecture
  • Build the service layer and mimic the current existing application
  • Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
  • Provide technical input for new feature requirements, partnering with business owners and architects
  • Ensure continuous improvement by staying abreast of industry trends and emerging technologies
  • Drive the implementation of solutions aligned with business objectives.
  • Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
  • Participate in code reviews, ensuring code quality and adherence to standards
  • Collaborate with cross-functional teams to achieve project goals
  • Actively contribute to architectural and technical discussions
Requirements
  • At least 3 years of experience as a Data Software Engineer or in similar roles
  • Deep expertise in Databricks for building scalable data pipelines
  • Expertise in Python and PySpark for data processing and analysis
  • Experience with Microsoft Azure and SQL Azure for cloud-based infrastructure and application management
  • Proficiency in Advanced SQL for data querying and manipulation
  • Experience in Python web services such as Django and Flask
  • Experience with Agile development methodologies and DevOps practices
  • Familiarity with Git for version control and collaboration
  • Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
Nice to have
  • Experience with Azure Data Factory, Azure Synapse Analytics, and Azure Stream Analytics is a plus
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

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