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Senior Databricks Data Engineer Position in Remote Work Environment

3 weeks ago

Remote, Czech Republic DS STREAM Full time

We are seeking a seasoned Senior Data Engineer with expertise in Databricks to join our rapidly growing team and contribute to a brand-new data lake project from the ground up. As a key member of our team, you will have the opportunity to work on innovative projects in the Big Data and Machine Learning fields, driving business growth through data-driven insights.

About DS STREAM

DS STREAM is a leading organization in the data science industry, renowned for its cutting-edge solutions and collaborative environment. Our company values flexibility, innovation, and teamwork, making us an ideal place for professionals looking to grow their careers in a dynamic and supportive setting.

Job Description

  • Develop a program for processing large volumes of data, ensuring seamless integration with our existing infrastructure.
  • Work on projects responsible for processing and analyzing data related to TV channel viewership, leveraging your expertise in Databricks to drive business outcomes.
  • Support Data Science teams by building and maintaining a Machine Learning environment and CI/CD pipelines, ensuring smooth operation and optimal performance.
  • Create a platform to trigger ML jobs in an auto-scalable manner, handling multiple parallel processes and diverse cloud computing services.
  • Build a web application for Data Science teams, providing a user-friendly interface for data analysis and visualization.
  • Design a tool for launching analyses that automates tasks typically performed by data analysts and data scientists, enhancing efficiency and productivity.

Requirements

  • Analyzing data with advanced statistical techniques and Machine Learning algorithms.
  • Proficiency in Cloud computing, including Azure and Kubernetes.
  • Strong knowledge of Python, Kubeflow, GitHub Actions, and Flask/FastAPI.
  • Experience with Agile and Scrum methodologies, ensuring efficient project management and collaboration.

Estimated Salary: $120,000 - $180,000 per annum, commensurate with experience and qualifications. This figure is based on industry standards and market trends for senior-level positions in remote work environments.

Benefits

  • Competitive compensation package.
  • Flexible working hours in a fully remote model.
  • Remote work arrangement, allowing for maximum flexibility and work-life balance.
  • Sport subscription, promoting a healthy lifestyle and well-being.
  • Training budget, enabling continuous professional growth and development.
  • Private healthcare, ensuring access to quality medical care and support.
  • Flat structure, fostering open communication and collaboration among team members.
  • Small teams, encouraging close relationships and effective teamwork.
  • International projects, offering opportunities for global exposure and experience.
  • Free coffee and bike parking, enhancing the work environment and convenience.
  • In-house trainings and hack days, promoting innovation and creativity.