Lead Data Architect with Advanced SQL Expertise
1 semana atrás
At Acronis, we are revolutionizing cyber protection by providing natively integrated, all-in-one solutions that monitor, control, and protect the data that businesses and lives depend on.
About UsWe are a global cyber protection company that provides natively integrated cybersecurity, data protection, and endpoint management for managed service providers (MSPs), small and medium businesses (SMBs), enterprise IT departments, and home users. Our all-in-one solutions are highly efficient and designed to identify, prevent, detect, respond, remediate, and recover from modern cyber threats with minimal downtime, ensuring data integrity and business continuity.
About the RoleWe are seeking an experienced Lead Data Architect 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 lead 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.
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.
To be successful in this role, you will need:
- 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.
- Strong English communication: Good command of written and spoken English, with the ability to work in a collaborative, multi-disciplinary environment.
We offer a competitive salary of $140,000 per year, along with a comprehensive benefits package, including health insurance, retirement plan, and paid time off.
The estimated salary range is based on the location of the position, which is Singapore. However, please note that salaries can vary depending on individual qualifications and experience.
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