Dieses Stellenangebot ist nicht mehr verfügbar
Über
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ETL experience
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Cloud Based Computing such as AWS or Azure
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Big data technologies
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Data warehousing, mining, analysis, self-service, or machine learning
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Data Governance
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Structured and Unstructured Data
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SQL and NoSQL database technologies
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Data Modelling
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Python, SQL, Spark
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Airflow
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Prepare and maintain accurate solution design and architectural documentations for delivery, platform and operations team.
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Understand the complexity of data and design systems and models to handle different data sources/formats, which includes structured, semi-structured, and unstructured, as well as stream processing.
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Address governance and security challenges associated with solutions.
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Analyze data sources, design and evaluate feasible data pipeline solutions. The solutions might include database modeling and design, relational database architecture, metadata and repository creation and configuration management.
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Design and develop data pipelines or ETL processes.
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Support and adhere to the development of data management policies, standards and procedures.
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Define integrated views of data drawing together data from across the enterprise, both in real-time and as extracts.
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Package deployments and collaborate with IT to migrate code between Development, Quality Assurance (QA), and Production environments.
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Support test automation, troubleshooting ETL job functionality, validating data, as well as create test data and table structures through use of SQL.
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Must be able to work in an agile, rapid delivery environment.
Sprachkenntnisse
- English
Hinweis für Nutzer
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