• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Build and optimizing ‘big data’ data pipelines, architectures and data sets.
• Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• To support and develop Data modeling, Data mapping activities.
• Strong analytic skills related to working with unstructured datasets.
Requirements:
• Experience with Data engineering tools (Python, Spark (Scala or Python), Hadoop) or relational databases (oracle, MySQL, MS Sql) or NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, R, etc
• Bachelor’s degree in IT or Computer Science or Equivalent experience.
