DataEngineer At Zeliot, we are looking for an experienced data engineer to join our team. They will use various methods to transform raw data from telematics devices into useful data systems. For example, the creation of algorithms and conducting statistical analysis based on business use cases. Overall, they\xe2\x80\x99ll strive for efficiency by aligning data systems with business goals. To succeed in this position, they should have strong analytical skills and the ability to combine data from different data sources. The skills also include familiarity with several programming languages and knowledge of learning machine methods. Responsibilities:
Analyse and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modelling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Requirements:
Previous experience as a data engineer or in a similar role
Experience building and optimizing \xe2\x80\x9cbig data\xe2\x80\x9d data pipelines, architectures and data sets.
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g., Java, Python or Go)
Great numerical and analytical skills
Degree in Computer Science, IT, or similar field
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Understanding of stream-processing systems: Flink, Storm, Spark-Streaming, etc.
Data engineering certification is a plus
Required Knowledge, Skills, and Abilities
Hadoop
Spark
Kafka
SQL
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