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We're seeking a highly experienced Database and Data Engineering Manager to join our team at Emerson. As a key member of our data operations team, you will be responsible for overseeing the management of our data infrastructure, ensuring data quality, reliability, availability, and governance.
About the Role:This is a critical role for our company as it involves managing data infrastructure and ensuring data quality, reliability, availability, and governance. The ideal candidate will have experience with database design, data flows, and data integration techniques, as well as proficiency in SQL and Python.
In this position, you will be responsible for defining database design, data flows, and data integration techniques, designing and building data solutions, providing technical expertise, risk analysis, and business and technical assessment of change requests, ensuring data is processed and stored efficiently, monitoring data quality, troubleshooting technical issues related to data operations, collaborating with data scientists, data engineers, data warehouses, and other collaborators, and automating data processes using relevant technologies.
- To define database design, data flows, and data integration techniques.
- To design and build data solutions ensuring data quality, reliability, availability, and data governance.
- To provide technical expertise, risk analysis, and business and technical assessment of change requests in relation to data platforms.
- To ensure that data is processed and stored efficiently and monitor data quality, ensuring that data meets relevant standards.
- To troubleshoot technical issues related to data operations.
- To collaborate with data scientists, data engineers, data warehouses, and other collaborators to ensure that data is being used effectively to drive business outcomes.
- To automate data processes, including ingestion, transformation, and storage, using SQL, Python, Azure Synapse, and relevant technologies.
- Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information Systems, or similar fields.
- At least 1 to 3 years of relevant work experience in the IT software development field, tools and process automation, data operations engineering, or equivalent.
- Proficiency in SQL and Python for data manipulation and scripting.
- Knowledge in Azure Synapse.
- Strong understanding of data warehousing concepts and cloud platforms.
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