Big Data Engineer
London, England, United Kingdom
Zone IT Solutions
Zone IT Solutions helps IT experts across Australia & NZ find their next challenge. Our agile practices deliver flexible, efficient & collaborative solutions.We are seeking an IT consulting firm specializing in Big Data Engineers. Currently, we are in pursuit of a highly proficient Big Data Engineer.
Requirements
- Strong experience with big data technologies such as Hadoop, Spark, and Kafka.
- Experience building and optimizing data pipelines, architectures, and data sets.
- Proficiency in programming languages such as Java, Scala, or Python.
- In-depth knowledge of distributed file systems (e.g., HDFS, S3) and NoSQL databases (e.g., Cassandra, MongoDB).
- Experience with data warehouse solutions and data modeling.
- Strong problem-solving skills and ability to work in an agile, collaborative environment.
- Excellent verbal and written communication skills.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong analytical and problem-solving skills.
- Experience with cloud platforms such as AWS or Azure is a plus.
Benefits
About Us
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. If you are looking for new opportunities, send your profile at Careers@zoneitsolutions.com.
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 encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data Cassandra Computer Science Consulting Consulting firm Data pipelines Data warehouse Engineering Hadoop HDFS Java Kafka MongoDB NoSQL Pipelines Python Scala Spark
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