Job Description
· Build data pipelines (ETL) to enable scalable processing of large volumes of data in AWS environment (Informatica, Pentaho)
· Organise, build and maintain data stores (e.g., RedShift, RDS) of structured and unstructured data (e.g., text, customer transactional data, work-flow/ticket/log data)
· Co-evaluate business needs and objectives
· Identify opportunities for data acquisition
· Conduct data analysis, working independently or with data analysts, and report on results
· Analyze and organize raw data
· Interpret trends and patterns
· Prepare data for prescriptive and predictive modeling
· Combine raw information from different sources
· Explore ways to enhance data quality and reliability
· Work with stakeholders to identify and solve business needs related to advanced data processing
Job Requirements
· Minimally a Degree in Computer Science, IT, or similar field
· At least 1 year experience working with SQL or as a data engineer or in a similar role.
· Proven work experience with ETL tool such as Pentaho Data Integration (KETTLE), Informatica.
· Excellent SQL knowledge and with proven experience with Data Analysis, Data Profiling and Data Processing.
· Good knowledge of working with databases such as Oracle, PostgreSQL, RedShift.
· Experience working with Tableau or similar BI tools.
· Technical expertise with data models, data mining, and segmentation techniques
· Ability to integrate data /data streams from different sources
· Great numerical and analytical skills
· Detail-oriented, with excellent organizational skills and experience
Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.
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