06 set - Modena
Zaelot
Our team is composed of top-notch professionals who bring creativity, vision, and a commitment to excellence to every project. We blend the talents of analysts, designers, and software engineers to create a highly productive and innovative environment. In the ever-evolving world of technology, we are dedicated to staying ahead of the curve by continually expanding our knowledge and skills. This drive for continuous improvement allows us to enhance both our products and our team's capabilities.
We're looking for a Data Engineer to join our team
Key Responsibilities
We collaborate with cross-functional teams to deliver reliable, production-grade data pipelines that power analytics, AI, and reporting products.
Build and maintain data pipelines using Databricks and/or Snowflake
Design and implement robust, scalable ETL processes
Apply data pipeline architecture best practices, including orchestration, data quality, and monitoring
Ensure compliance with HIPAA/PHI regulations across the handling, storage, and processing of sensitive data
Collaborate with analytics, product,
and engineering teams to ensure data availability and quality
Required Skills & Experience
We are seeking a Data Engineer with a solid foundation in data engineering fundamentals and experience handling sensitive healthcare data.
Hands-on experience building and maintaining data pipelines using Databricks (notebooks, jobs, and cluster configuration) and/or Snowflake (warehouses, virtual warehouse sizing, and workload management)
Strong proficiency in SQL for querying, transforming, and validating data across multiple sources
Practical experience designing and implementing ETL processes, from data extraction and transformation to loading into target systems
Solid understanding of data pipeline architecture principles, including scalability, reliability, and maintainability of production workflows
Working knowledge of HIPAA/PHI data governance and security compliance requirements, including safe h
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