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Lead Data Engineer
Openkyber
- New York, New York, United States
- New York, New York, United States
Über
Core qualifications include a deep understanding of data and ETL architecture, practical experience with cloud-based data platforms (preferably Google Cloud Platform with Databricks/Apache Spark), and strong programming skills in Python/PySpark with direct ETL experience. Additionally, the ideal candidate will possess reporting expertise using Power BI and Tableau, and a proven track record in designing and implementing advanced data engineering solutions, leveraging their full Software Development Life Cycle (SDLC) experience.
3 years of experience with data pipeline and workflow management tools (e.g., Apache Spark(Dataproc), Google Cloud Platform Tools, Databricks, PySpark).
3 Years of experience building ETL and Data Integration pipelines in Python, PySpark and knowledge of Informatica is a plus
3 years of experience in a reporting tool like Power BI & Tableau. (Power BI preferred)
3 years of experience working with On Prem databases like Oracle, Teradata and DB2
3 years of experience with Cloud platforms (Google Cloud Platform and Azure) and their respective data services
3 years of deep SQL experience & Unix experience
3 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare. Hedis experience is a big plus.
3 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
3 years of experience with data-related code that is fault-tolerant, efficient, and maintainable
For applications and inquiries, contact: hirings@openkyber.com
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Sprachkenntnisse
- English
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