Cloud Data Engineer
4 weeks ago
About SR Analytics :
SR Analytics is a Data Analytics and Business Intelligence Services firm seeking a Senior Data Engineer to join our team. We are passionate about Azure Cloud technologies and data engineering. If you have a strong skill set and thrive in a fast-paced environment, we would love to hear from you.
Data Engineering Responsibilities :
1 Design scalable data management systems on Azure Cloud.
2 Develop and optimize data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
3 Ensure systems meet business requirements and industry best practices.
4 Integrate new Azure-based technologies and software engineering tools into existing data structures.
5 Develop processes for data mining, modeling, and production with Azure SQL Database, Cosmos DB, etc.
6 Build and maintain custom software components and analytics applications on Azure.
7 Leverage languages and tools to combine data systems, especially Python, SQL, and Azure Functions.
8 Collaborate with cross-functional teams to align on long-term goals for the data platform.
9 Optimize and recommend ways to improve data reliability, efficiency, and quality.
10 Conduct research to address complex industry and business problems using Azure-based solutions.
Requirements :
1 Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
2 Minimum of 5 years of experience as a Data Engineer, Software Developer, or in a similar role.
3 Hands-on experience with Azure Cloud technologies including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake.
4 Strong experience with big data tools and stream-processing systems within the Azure ecosystem.
5 Proficiency in SQL, Python, Java, or other scripting languages.
6 Experience with relational databases and NoSQL databases in Azure, including Azure SQL Database and Cosmos DB.
7 Strong analytical and problem-solving skills.
8 Familiarity with DevOps practices, including CI/CD pipelines in Azure DevOps.
9 Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
10 Understanding of data privacy regulations and best practices.
Added Advantage :
1 Experience with machine learning on Azure.
2 Knowledge of Power BI for data visualization.
3 Certification in Azure Data Engineer or Azure Solutions Architect.
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