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Data Engineer - Digital Operations Advanced Analytics
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Full-time
- There are some major digital initiatives in the areas of NLP engines including speech to Text for IVR (Interactive Voice Response systems), transition to utilizing Intelligent Bots handling customer queries, using machine learning tools to improve our systems.
- As a Data Engineer, the individual will work with a wide variety of data sources including Oracle, Teradata, Greenplum, Hadoop databases to extract information and integrate to help create “key performance indicators” - The KPI’s would serve as a benchmark of the critical program’s success.
- Create tools or systems using databases, Shell scripting, Cognos, Tableau, Power BI, Spreadsheet, Hadoop, Hue, Kafka, Grafana, Python for output.
- Maintain knowledge management article with model documents, templates, detailed process flow diagram, value stream mapping diagram, swim lane diagrams, playbook, and other reusable knowledge assets.
- Big data performance tuning for data ingestion and data retrieval, with modeling tools like Erwin, Visio and advanced level expertise in performance optimization, data transformation methods with languages/tools like SQL, PL/SQL, NoSQL, Hive, Hadoop, Spark.
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