Senior Python Developer with SQL Expertise

Acronis

Sofia, Bulgaria

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. As a senior developer, you will play a key role in designing, implementing, and optimizing data-driven systems, ensuring high-performance data processing, and mentoring junior developers where needed.

WHAT YOU'LL DO:

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.

WHAT YOU BRING (EXPERIENCE & QUALIFICATIONS):

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;
Strong English Communication: Good command of written and spoken English, with the ability to work in a collaborative, multi-disciplinary environment.

OPTIONAL BUT ADVANTAGEOUS:

Linux Expertise: Extensive experience with Linux environments for scripting, automation, and systems operations;
Leadership & Mentoring (Preferred): Experience mentoring junior developers and leading technical discussions is a plus;
Data Visualization Tools: Knowledge of BI tools like Tableau, Power BI, or similar is a plus but not required.

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