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Data Engineer
Job Ref
284873
Job Type
Permanent
Employer Type
Recruitment Agency
Date Added
12 Aug 2022
Expiry Date 26 Aug 2022
Expiry Date 26 Aug 2022
* There have been 2 applications to this job.
* This job has been viewed 4932 times.
Employer:
Luxfiat
Location:
Gauteng
Salary:
Market related
Benefits:
Role details:
The ultimate goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.
- - - - - - - - - - - - - -
Key Responsibilities/Accountabilities• 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
Preferred Qualification and Experience
Qualifications:
• Must have completed Matric (Grade 12)
• Relevant Degree in Computer Science, IT, or similar field.
Skills/ Knowledge and Experience:
• Minimum of 4+ proven work experience with data models, data mining, and segmentation techniques
• Relevant programming languages (e.g. Java, Scala, Python) experiences.
• Hands-on experience with SQL database design
• Relevant Apache Spark experience as well as good Apache Hadoop, Hue, Impala understanding
• Good understanding of sharding and partitioning strategies.
• Excellent understanding and relevant experience with NoSql databases – HBase (advantageous)
• Understanding and experience with structured (such as RDBMS, spreadsheets), semi-structured (such as log files, XML, JSON) and unstructured (such as text, video, audio, images, vibration) data sources
• Good conceptual understanding of machine learning as well as different algorithms and libraries
• Good understanding of ML features and feature store
• Experience with Nifi, Airflow or similar product
• ETL tools
Behavioral Attributes:
• Coding
• Data warehousing
• Knowledge of operating systems
• Database analysis
• Critical thinking skills
• Basic understanding of machine learning
• Communication skills