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Data Architect with SQL Expertise

hace 2 meses

Madrid, Madrid, España Acronis A tiempo completo

About Acronis

Acronis is a leading provider of cyber protection solutions that monitor, control, and protect the data businesses depend on. We are looking for a highly skilled Data Architect to join our Advanced Analytics team.

Job Summary

We are seeking an experienced Senior Python Developer with strong SQL skills to lead the design, implementation, and optimization of our scalable Data Warehouse solution. This role will focus on building, enhancing, and maintaining high-performance data-driven systems, ensuring efficient data processing, and mentoring junior developers where needed.

Key Responsibilities

  • Develop New Features: Architect, develop, and implement new functionalities for the Data Warehouse, emphasizing clean, scalable, and maintainable Python code.
  • Data Pipeline Development: Design, build, and maintain efficient, scalable data pipelines and ETL workflows to integrate data from multiple sources into the data warehouse.
  • Performance Optimization: Analyze and optimize both 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 the integrity and efficiency of the data warehouse architecture.
  • Code Reviews & Best Practices: Conduct thorough code reviews, enforce best coding practices, and ensure testable, reliable, and maintainable code with a focus on unit and integration testing.
  • Production Monitoring & Debugging: Proactively 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, consistency, and reliability throughout the data lifecycle.

Requirements

  • Python Expertise: 5+ years of hands-on experience with Python, focusing on back-end development, data processing, and automation within high-volume data environments.
  • SQL Mastery: Advanced proficiency in SQL, including writing complex queries, designing and optimizing databases, and fine-tuning query performance in relational 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, patterns, and testing methodologies.

What We Offer

  • A competitive salary of $150,000 - $200,000 per year, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • Ongoing training and professional development opportunities.
  • The chance to work on challenging projects and collaborate with a talented team of professionals.