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Key job responsibilities
- Designing, implementing, and maintaining a cutting-edge, cloud-based data infrastructure to support our large and complex data sets, ensuring high performance, availability, and integrity
- Developing and optimizing robust ETL pipelines with comprehensive monitoring, alarming, and data quality controls to seamlessly integrate diverse data sources
- Driving the adoption of emerging technologies, such as generative AI, and advocating for the latest data management best practices to elevate our capabilities
- Manage AWS resources, including exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency
- Mentoring junior data engineers and fostering a culture of continuous learning and innovationNew York, NY, USA
- 6+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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