Mastering Data Pipeline Engineering
We are seeking a seasoned Data Engineer to spearhead the design, development, and maintenance of robust data pipelines that empower our analytics-driven products.
* Pipeline Architecture: Design and implement scalable, efficient, and reliable data pipelines using Apache Airflow, ensuring seamless data delivery across teams.
* Collaboration: Work closely with data analysts, scientists, and engineers to develop solutions that meet business needs and drive informed decision-making.
* ETL Optimization: Continuously optimize Extract, Transform, and Load processes for enhanced performance, reliability, and scalability.
* Data Integrity: Ensure accurate and secure data architecture by implementing effective data validation, quality checks, and backup strategies.
* Troubleshooting: Troubleshoot pipeline failures, resolve performance bottlenecks, and collaborate with cross-functional teams to resolve issues promptly.
To excel in this role, candidates should possess hands-on experience with Apache Airflow, a strong understanding of data engineering principles, and excellent collaboration skills. A degree in Computer Science, Statistics, Engineering, Economics, or a related field is highly valued, as well as fluency in English and a passion for innovation.