Senior Data Engineer
New York , NY 10001
Posted 1 week ago
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At Caserta, we work with leading organizations to deliver innovative data & analytics solutions. A project-based approach to solving our clients toughest data challenges with the fastest time-to-value is a hallmark of our firm. Our consultants are force multipliers that strengthen our clients teams with deep domain expertise in data architecture, data engineering, and data science.
Our team is looking for creative, entrepreneurial, and highly-motivated people to carry out our mission of designing, architecting, and implementing the most innovative, forward-looking data-driven solutions available to our clients.
As a Sr. Data Engineer at Caserta, you will work in teams to deliver innovative solutions on Amazon Web Services, Azure, and Google Cloud using core cloud data warehouse tools like Spark, Event Stream platforms, and other Big Data related technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics
Responsibilities: Lead a team to develop Cloud enabled Data and Analytics solutions Drive the development of cloud based and hybrid data warehouses & business intelligence platforms Build Data Pipelines to ingest structured and unstructured Data. Gain hands-on experience with new data platforms and programming languages
Requirements 10+ years of experience working in Data Engineering or Data Warehousing Hands-on experience with leading commercial Cloud platforms, including AWS, Azure, or Google Experience leading data warehousing, data ingestion, and data profiling activities Advanced SQL & Python skills Strong aptitude for learning new technologies and analytics techniques Highly self-motivated and able to work independently as well as in a team environment Understanding of agile project approaches and methodologies Experience working with Business Stakeholders to elicit business requirements Experience building and migrating complex ETL pipelines Familiarity with or strong desire to learn quantitative analysis techniques (e.g., predictive modeling, machine learning, segmentation, optimization, clustering, regression) Bachelors degree in Business Analytics, Computer Science or a closely related field required
- Profit Sharing
- Health/Medical Benefits
- Dental & Vision benefits
- Highly competitive PTO/Holiday package
- And more
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