Описание
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 analyt
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