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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem. Responsible for defining and assisting in the implementation/maintaining Data Governance Policies, Quality Standards, Data Security Data Classifications, and the creation of a data catalog.
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Advanced Data Analytics / Machine Learning Techniques / Large Language models. Work with huge data sets and work with other Data Engineers and/or Scientists on analyzing this data using algorithms and machine learning.
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Implement and configure big data technologies as well as tune processes for performance at scale. Design and build ETL pipelines to automate the ingestion of structured and unstructured data.
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Assist in the discovery of new opportunities for data acquisition. 5 years' experience creating, implementation and maintaining a Data Government Policy. Ensure data architecture will support the requirements of the business.
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Develop, Construct, Test and maintain data architectures. e.g., XPath, MongoDB query language, Elasticsearch query language, JSON Experience with the following technologies is also highly desirable: Python, Airflow.
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Work with DevOps engineers on CI/CD, and IaC (Continuous Integration, Continuous Delivery, and Infrastructure as Code) processes; read specifications and translate them into code and design documents; and perform code reviews and develop processes for improving code quality.
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Responsible for deploying the developed solution in Azure environment and examining the results for accuracy. Analyzes requirements and architecture specifications to create a detailed design document.
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5 years' experience working in an Azure Environment. 5 years’ experience developing SQL and Python. Ability to identify and learn applicable new techniques independently as needed. Master’s degree in computer science or related field.
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Strong in scalability, performance, and availability of our systems. Familiarity with other query languages Path, SPARQL, etc. Strong technical communication skills; both written and verbal. Strong problem solving and structuring skills.
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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem.
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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem.
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Coordinate with the Release Train Engineer (RTE) and scrum masters on the work of the team and in support of all Prudential Agile ceremonies and resulting execution/implementation work. Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem.
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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem.
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teradata data engineer jobs Company: System One
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