Data Engineer II Role
2 days ago
We are seeking an experienced Cloud Data Engineer to join our team at Memorial Sloan Kettering Cancer Center. As a key player in our mission to fight cancer, you will design, implement, and maintain data infrastructure solutions for our new hybrid and multi-cloud data ecosystem. This exciting opportunity will allow you to leverage your skills with Spark, Data Lakehouse, and cloud technologies to drive meaningful insights from our data.
Key Responsibilities
- Collaborate with stakeholders to understand data requirements and provide technical solutions
- Develop ELT data pipelines using PySpark coding best practices
- Implement data validation and quality checks to ensure the integrity and reliability of data throughout the processing lifecycle
- Monitor and optimize data processing jobs for performance, ensuring efficient resource utilization, optimal data storage structure and minimal processing time
Requirements
- Strong proficiency with PySpark development and troubleshooting
- Experience with Databricks and medallion architecture
- Solid understanding of database design fundamentals
- Minimum 4+ years of Cloud Data Engineer working experience
Benefits
- Competitive salary: $118,800 - $196,200 per year
- Hybrid schedule: 4 days a month onsite
- Opportunity to work with cutting-edge technologies and contribute to a dynamic team
- Comprehensive benefits package, including health insurance, retirement plan, and more
At Memorial Sloan Kettering, we value diversity and inclusion, and are committed to creating a workplace where everyone feels welcome and supported. We offer a range of benefits to support your well-being, including mental health resources, employee assistance programs, and more.
If you are passionate about data engineering and want to make a difference in the fight against cancer, apply now Our team is waiting to hear from you.
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