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senior data software engineer

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Data Software Engineering, Databricks, Microsoft Azure, PySpark, Python, SQL

Join our remote team as a Senior Data Software Engineer within a leading provider of AI-based solutions for industries. We are seeking a hands-on developer with deep expertise in building data pipelines, deploying to production, and working within a cloud platform. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities
  • Design and implement data pipelines using the Agile development process (Scrum)
  • Ensure high-quality standards at every stage of development
  • Guarantee reliability, availability, performance, and scalability of data pipelines
  • 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 production experience in Data Software Engineering
  • Be hands-on with deep expertise in cloud-based platforms, with a strong preference for Microsoft Azure
  • Deep expertise in one or more of the following languages: Python, Spark, PySpark, SQL, with knowledge on how to build both within dev and enabling deployment to production
  • Experience building out robust data pipelines
  • Experience using Databricks for data engineering and processing
  • Experience using Azure DevOps, GitHub, or other version control tools
  • Experience 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 big data technologies such as Hadoop, Hive, and Kafka
  • Experience with Azure Data Factory or other ETL tools

benefits for locations

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For you
  • Discounts on health insurance, sport clubs, shopping centers, cinema tickets, etc.
  • Stable income
  • Flexible roles
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For your comfortable work
  • 100% remote work forever
  • EPAM hardware
  • EPAM software licenses
  • Access to offices and co-workings
  • Stable workload
  • Relocation opportunities
  • Flexible engagement models
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For your growth
  • Free trainings for technical and soft skills
  • Free access to LinkedIn Learning platform
  • Language courses
  • Free access to internal and external e-Libraries
  • Certification opportunities
  • Skill advisory service
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