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senior data software engineer

bullets
Data Software Engineering, Apache Spark, Microsoft Azure, Python, Forecasting Models, Data Science, MLOps, Databricks
bullets
Poland

Join our remote team as a Senior Data Software Engineer. As a hands-on engineer, you will work closely with data scientists and other technical staff to develop and optimize features, ensuring the solution is production-ready. You will also have the opportunity to collaborate with product leadership and other stakeholders to create innovative and impactful solutions in a dynamic Agile development environment.

responsibilities
  • Collaborate with data scientists and technical staff to ensure that data integration solutions are production-ready
  • Design and develop new features using the Agile development process (Scrum)
  • Prioritize and ensure high-quality standards at every stage of development
  • Guarantee reliability, availability, performance, and scalability of data systems
  • Maintain and troubleshoot code in large-scale, complex environments.
  • 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 in Data Software Engineering, with a focus on building and deploying data integration solutions
  • Deep expertise in Apache Spark and Databricks for building scalable and high-performance applications
  • Hands-on experience with Microsoft Azure for cloud-based infrastructure and application management
  • Expertise in Python for developing data integration solutions, including Forecasting Models and MLOps
  • Experience with Data Science, including knowledge of ML and statistical models
  • Familiarity with Git for version control, integration, and deployment
  • Excellent troubleshooting and problem-solving skills to support applications and systems in a production environment
  • Experience with SQL Databases for designing and managing database schema, including procedures, triggers, and views
  • Excellent communication skills in spoken and written English, at an upper-intermediate level or higher
nice to have
  • Knowledge of Pandas for data manipulation is a plus
  • Familiarity with basic Azure concepts such as clouds, regions, ADLS, and compute

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