2727 N Central Ave, Phoenix, Arizona 85004 United States of America
A Senior Engineer to be part of a team focused on new features in the areas of Big Data, streaming, data analytic platforms. As part of a feature team the Big Data Engineer will participate in all aspects of solution development (architecture, design, development and testing) .
Hands-on experience with developing, debugging and supporting Big Data platforms
Hands-on experience with technical architecture, design, development and implementation of big data solutions
Hands-on experience with distributed systems, multi-threading
Hands-on experience building data p ipelines
Hands-on experience implementing machine learning algorithms.
Experience with mentoring and advising team members
Ability to communicate effectively with technical and non-technical members of the project team
2+ years’ experience with Big Data Platforms
Experience working with Spark, Kafka, Hadoop, Hive, Parquet, Ambari, Python, Scala, HBase, Ranger, Oozie
Experience in Java Object Oriented Programming experience
Experience with scalability analysis and performance monitoring and measuring techniques
Knowledge of cloud computing infrastructure (Azure HD Insights) and considerations for scalable, distributed systems
2+ years’ experience with software development best practices and design patterns
Must be able to quickly understand technical and business requirements and be able to translate into technical implementation
AMERCO and its family of companies, including U-Haul, have strived to create a culture of health and wellness. As of February 1, 2020, and consistent with applicable state law, no AMERCO or U-Haul company will hire individuals in states where it may lawfully decline to hire individuals who use nicotine products. By continuing with this application, you are indicating that, if hired, you consent to nicotine screening in the future. This policy will not apply to team members hired before February 1, 2020.
U-Haul is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.