Senior Data Engineer
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Job Location:
Phoenix, NM - USA
Monthly Salary:
Not Disclosed
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
Location:
2727 N Central Ave Phoenix Arizona 85004 United States of AmericaJob Duties:
Develop debug and support applications for big data analytics platforms;
Designing building testing implement technical architecture for big data applications;
Develop or Implement multi-threading and distributed systems;
Create big data pipelines using various analytics platforms;
Work with Data Science team to implement machine learning models using various container orchestration systems;
Demonstrate analytical and problem-solving skills in a Distributed Big Data Computing Environment;
Train mentor and advise team members;
Quickly understand technical and business requirements and translate them into technical implementation;
Apply data science or machine learning to build data-driven products for solving business problems; and
Discuss requirements or knowledge/facts effectively with technical and non-technical members of the project team
Minimum Requirements:
Masters degree (or foreign equivalent) in Computer Science Data Science Statistics Mathematics Engineering Bioinformatics Physics or a related field more than five years of work experience coding software and two years of experience involving each of the following:
Java or Scala
Hadoop Kafka Data Lake or Databricks environments.
SQL
Apache Spark
Linux Unix
HDFS or Databricks File System (DBFS)
Data science data analytics or machine learning
Scalability analysis and performance monitoring and measuring techniques
Hive and HBase
Zookeeper
OR Bachelors degree (or foreign equivalent) in Computer Science Data Science Statistics Mathematics Engineering Bioinformatics Physics or a related field more than eight years of work experience coding software and five years of progressive post-baccalaureate experience involving each of the following:
Java or Scala
Hadoop Kafka Data Lake or Databricks environments.
SQL
Apache Spark
Linux Unix
HDFS or Databricks File System (DBFS)
Data science data analytics or machine learning
Scalability analysis and performance monitoring and measuring techniques
Hive and HBase
Zookeeper
U-Haul Offers:
Full Medical coverage
Prescription plans
Dental & Vision Plans
New indoor fitness gym
Gym Reimbursement Program
Registered Dietitian Program
Weight Watchers
Onsite medical clinic for you and your family
Career stability
Opportunities for advancement
Valuable on-the-job training
Tuition reimbursement program
Free online courses for personal and professional development at U-Haul University
Business and travel insurance
You Matter Employee Assistance Program
Paid holidays vacation and sick days
Employee Stock Ownership Plan (ESOP)
401(k) Savings Plan
Life insurance
Critical Illness/Group Accident
24-hour physician available for kids
MetLaw Legal program
MetLife auto and home insurance
Mindset App Program
Discounts on cell phone plans hotels and more
LifeLock Identity Theft
Savvy consumer wellness programs - from health care tips to financial wellness
Dave Ramseys SmartDollar Program
U-Haul Federal Credit Union
Wellness Program
U-Haul Holding Company and its family of companies including U-Haul International Inc. (U-Haul) continually strives to create a culture of health and wellness. Consistent with applicable state law U-Haul will not hire or re-hire individuals who use nicotine products. The states in which U-Haul will decline to hire nicotine users are: Alabama Alaska Arizona Arkansas Delaware Florida Georgia Hawaii Idaho Iowa Kansas Maryland Massachusetts Michigan Nebraska Pennsylvania Texas Utah Vermont Virginia and Washington. U-Haul has observed this hiring practice since February 1 2020 as part of our commitment to a healthy work environment for our team.
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.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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