Senior Data Engineer

Requirements

• Experienced in Big Data: Over 7 years of experience working as a Data Engineer or in a similar role.
• Data & Engineering practices: Expert-level understanding of Software and Data Engineering practices.
• Technical Super Star: Proficient in tools and languages such as Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.
• Clear Communicator: Skilled at articulating complex data-related concepts and outcomes.
• Self-starter: Capable of recognizing opportunities, devising solutions, leading projects.
• Innovator: Experimental mindset with 'launch fast and iterate' mentality.
• Data Culture Champion: Experience fostering a data-centric culture in technical organizations.

What you'll be doing

• Collaborative Solution Development: Engage with stakeholders to craft effective solutions.
• State-of-the-Art Pipelines and Architecture: Design and operate high-quality data pipelines and architectures.
• Champion Data Best Practices: Advocate for best practices in performance, code quality, data governance.
• High Quality Data and Code: Ensure accuracy, completeness, and reliability of data. Implement testing and monitoring protocols.
• Performance Optimization: Identify and resolve performance bottlenecks. Optimize query performance and resource utilization.