Senior Data Engineer (Interior Design)

• Design build and optimize high-volume high-performance ELT pipelines for centralized data warehousing
• Collaborate with Product Managers ML Engineers Data Scientists and DevOps to define and enforce a reliable scalable and secure data platform architecture
• Ensure adherence to data warehousing standards data quality best practices and metadata management processes
• Take ownership of key data warehouse components and drive improvements in performance and reliability
• Conduct architecture reviews and participate in system design discussions to provide technical leadership
• Mentor and guide junior engineers fostering a culture of quality and continuous learning

Qualifications :

• 5 years of professional experience in data engineering building scalable data systems and pipelines
• Expert proficiency in SQL
• Strong programming skills in Python
• Proven experience in designing building and managing large-scale data lakes and warehouses
• Solid computer science fundamentals (data structures algorithms distributed systems)
• Deep understanding of distributed system architecture with a focus on data availability reliability and performance
• Upper-Intermediate or higher English level

WOULD BE A PLUS

• Experience with cloud platforms such as AWS GCP or Azure
• Knowledge of Spark Kafka Airflow or dbt
• Familiarity with BI tools like Tableau or Power BI
• Understanding of CI/CD practices for data pipelines
• Exposure to machine learning model deployment and monitoring

Additional Information :

PERSONAL PROFILE

• Analytical thinker with strong problem-solving skills
• Detail-oriented and committed to delivering high-quality results
• Collaborative team player with excellent communication skills
• Adaptable to changing priorities and requirements
• Proactive and self-motivated with a leadership mindset

Remote Work :

Yes

Employment Type :

Full-time