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OwnBackup is looking for a passionate, dedicated, and highly motivated Principal Data Engineer to join our Engineering team in our New Jersey HQ office. This is a great opportunity to join OwnBackup and help us build the next generation of products for end-to-end SaaS data protection.
Key Responsibilities:
Build proprietary cloud-based big data analytics and improve core back-end & cloud-based data services
Leading technical development of features end to end (From requirements to code in production)
Promoting engineering excellence, code quality and principles of software design and development in the team
Help translating our business vision into state of the art software and efficient development processes
Supporting our customers and troubleshooting production issues
Being part of cross R&D engineering initiatives
Desired Profile:
10+ years of experience as a Software / Data Engineer and building enterprise SAAS based solutions with Large Datasets ; Experience or working knowledge with distributed systems
Excellent communication skills, particularly with explaining technical or complex matters to non-technical audiences
Experience designing and implementing non-destructive data architecture to support data governance, lineage, and change traceability
Familiar with various data storage principles and concepts such as RDBMS, NsSQL DBs, Hybrid DBs , strong experience with SQL/ Py-Spark/Spark SQL
Experience building highly scalable Data Warehouse using DataBricks if possible or other tech stack
Proficient in Python / Java / Scala / Apache Spark or Hadoop
Exposure to Cloud - AWS and/or Azure. Preferably AWS.
Familiarity with mechanisms for securing data at rest and in transit
Good understanding of secure SDLC development process
BS in Computer-science or equivalent degree
Strong background and experience with:
Big Data Technologies
Secure-coding/infosec principles
Scalability & performance
DataBricks experience will be a plus
Experience building backend modules, low latency REST API in distributed environments using Java, Docker, SQL, Maven, Spring, Jenkins.
Experience writing complex SQL queries, UDFs to process large amounts of data across relational, non-relational databases and Spark SQLs.
Experience with reengineering initiatives, data-ingestion processes, and/or business-process restructuring.
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