Lead Enterprise Data Engineer

7 days ago


New York, New York, United States NYU Langone Health Full time
About the Role

We are seeking an experienced Lead Data Engineer to join our team at NYU Langone Health As a key member of our Enterprise Data and Analytics department, you will play a critical role in designing and developing robust ETL pipelines to integrate diverse data sources. Your expertise in creating efficient data pipelines, handling both streaming and batch data processing, and ensuring data integrity throughout the ETL lifecycle will be invaluable to our organization.

The ideal candidate will possess strong analytical skills, with a deep understanding of cloud infrastructure and DevOps practices. Experience working with Databricks platform, Azure cloud platforms, and big data technologies such as Apache Spark, Hadoop, or Kafka is highly desirable. If you are a motivated and detail-oriented professional who thrives in a fast-paced environment, we encourage you to apply

Key Responsibilities:
  • Design and develop ETL code to integrate various data sources
  • Develop, maintain, and optimize ETL pipelines for both streaming and batch data processing
  • Ensure data integrity and consistency throughout the ETL lifecycle
  • Provide comprehensive support for ETL processes from data ingestion to final output
  • Implement monitoring solutions for ETL jobs to ensure timely and successful data processing
  • Optimize ETL jobs for maximum performance and efficiency through performance tuning and troubleshooting

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