Data Engineer

Senior Data Engineer

Your role

• Designing and implementing scalable data pipelines to collect, process, transform, and store large volumes of structured and unstructured data.
• Developing efficient ETL (Extract, Transform, Load) processes to ensure the availability of clean and accurate data for analysis.
• Building and maintaining data warehouses or data lakes to enable easy access to structured datasets for reporting and analytics purposes.
• Collaborating with cross-functional teams to identify opportunities for improving data quality, reliability, performance, and efficiency.
• Implementing appropriate security measures to protect sensitive data from unauthorized access or breaches.
• Monitoring system performance, identifying bottlenecks or issues, and implementing optimizations to ensure high availability and scalability.
• Conducting thorough testing of developed solutions to ensure they meet functional requirements and performance expectations.
• Mentoring junior team members by providing guidance on best practices in software development, database design, and data engineering techniques.
• Staying up-to-date with emerging technologies in the field of big data processing, cloud computing, distributed systems, etc., and evaluating their potential applications in the organization's context.
• Collaborating with stakeholders to understand their business needs and translating them into technical requirements.

To succeed in this role