Advanced Data Engineer with Cyber Protection Expertise

3 semanas atrás


Lisboa, Lisboa, Portugal Acronis Tempo inteiro

Acronis is revolutionizing cyber protection by providing integrated solutions that monitor, control, and protect data in various environments. As a leading global company, we are seeking an experienced Senior Python Developer with strong SQL skills to join our Advanced Analytics team. This role will focus on building, enhancing, and maintaining a scalable Data Warehouse solution, ensuring high-performance data processing and mentoring junior developers where needed.


Key Responsibilities:



  • Develop New Features: Architect, develop, and implement new functionalities for the Data Warehouse using clean, scalable, and maintainable Python code.
  • Data Pipeline Development: Design, build, and maintain efficient data pipelines and ETL workflows to integrate data from multiple sources into the data warehouse.
  • Performance Optimization: Analyze and optimize data processing and retrieval systems to ensure performance improvements in large-scale environments.
  • Database Design & Extension: Lead the design and expansion of database schemas, tables, and data marts while ensuring data integrity and efficiency.
  • Code Reviews & Best Practices: Conduct thorough code reviews, enforce best coding practices, and ensure testable, reliable, and maintainable code.
  • Production Monitoring & Debugging: Monitor production environments, troubleshoot complex issues, and optimize data operations for continuous improvement.
  • Data Quality Assurance: Implement robust data quality frameworks to ensure data accuracy and consistency throughout the data lifecycle.

Requirements:



  • Python Expertise: 5+ years of hands-on experience with Python, focusing on back-end development, data processing, and automation.
  • SQL Mastery: Advanced proficiency in SQL, including writing complex queries and designing and optimizing databases.
  • Data Pipeline & Workflow Automation: Proven experience in building and optimizing data pipelines and automating workflows with Python-based frameworks.
  • Version Control & Collaboration Tools: Proficiency in Git and experience working with collaboration tools like JIRA for agile development.
  • Big Data Technologies: Familiarity with big data frameworks like Apache Spark, Hadoop, or distributed computing environments.
  • System Architecture: Experience in designing and scaling data-driven systems with a strong understanding of software design principles.
  • Strong English Communication: Good command of written and spoken English, with the ability to work in a collaborative environment.

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