Deskripsi Pekerjaan
We are seeking a visionary Staff Data Engineer to architect and evolve our organization's data infrastructure. In this pivotal role, you'll design scalable, resilient data ecosystems that power data-driven decision-making across the enterprise. You'll champion automation best practices while ensuring systems maintain peak performance under growing data volumes. This position offers the opportunity to shape our data strategy and mentor junior engineers while collaborating with cross-functional teams to translate business requirements into robust technical solutions.
As a technical leader, you'll optimize data pipelines, implement governance frameworks, and leverage cutting-edge technologies to solve complex data challenges. Your expertise will directly impact our ability to derive actionable insights from massive datasets, positioning our organization at the forefront of data innovation.
Tanggung Jawab
- Lead the design, development, and optimization of scalable data pipelines and architectures
- Implement robust data governance frameworks and quality control measures
- Automate ETL processes to ensure efficient data flow and processing
- Collaborate with data scientists and analysts to support advanced analytics initiatives
- Monitor system performance and implement continuous improvement strategies
- Design disaster recovery and backup solutions for critical data assets
- Mentor junior engineers and establish technical best practices
Kualifikasi
- 5+ years of experience in data engineering with 2+ years in leadership roles
- Expertise in SQL, Python, and big data technologies (Spark, Hadoop, Kafka)
- Strong background in cloud platforms (AWS/GCP/Azure) and data warehousing
- Proven experience designing and implementing data lakes and data warehouses
- Knowledge of data modeling, schema design, and performance optimization
- Familiarity with CI/CD practices for data pipelines
- Bachelor's degree in Computer Science, Engineering, or related field