Big Data Developer
Auckland, Auckland, New Zealand
Zone IT Solutions
Zone IT Solutions helps IT experts across Australia & NZ find their next challenge. Our agile practices deliver flexible, efficient & collaborative solutions.Zone IT Solutions is seeking an experienced Big Data Developer to join our team. This role is based in Auckland and is a full-time position.
Requirements
- Minimum of 5 years of experience as a Big Data Developer
- Deep understanding of Big Data technologies such as Hadoop, Spark, and NoSQL databases
- Proficient in data ingestion, data processing, and data transformation
- Strong knowledge of data modeling and database design
- Experienced in programming languages like Java, Python, or Scala
- Hands-on experience with cloud platforms like AWS or Azure is a plus
- Excellent problem-solving and analytical skills
- Effective communication and collaboration abilities
- Ability to work independently and in a team environment
- Bachelor's degree in Computer Science or a related field
Benefits
About Us
Zone IT Solutions is Australia based Recruitment Company. We specialize in Digital, ERP and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic and flexible solutions will help you source the IT Expertise you need. Our delivery Offices are in Melbourne, Sydney and India. If you are looking for new opportunities; please share your profile at Careers@zoneitsolutions.com or contact us at 0434189909
Also follow our LinkedIn page for new job opportunities and more.
Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds and people with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Big Data Computer Science Hadoop Java NoSQL Python Scala Spark
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