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The ideal candidate will have extensive experience in data engineering, particularly with SAS, SQL and Oracle, and will be responsible for designing, developing, and maintaining the data infrastructure.
• Develop ETL processes to extract, transform, and load data from various sources.• Integrate data from multiple sources to create a unified data environment.• Monitor and optimize the performance of data pipelines and ETL processes.• Work closely with data scientists, analysts, and other stakeholders to understand data needs and requirements.Troubleshooting and Support• Provide support for data-related queries and requests.Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.• Extensive experience in developing and maintaining data pipelines.Strong problem-solving and analytical skills.Knowledge of data modelling, data warehousing, and data integration best practices.Familiarity with scripting languages like Python or R.
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