Data Engineer
3 weeks ago
Responsibilities:
• Develop and maintain data warehouse systems and best practices • Implement and manage cloud technologies for data storage and access • Utilize SQL Server and other tools like Microsoft Power BI for data management and reporting • Ensure data availability and implement access rules for data security • Liaise with other team members to open data access for report generation • Contribute to data visualization and analytics processes • Assist in API development and maintain AWS technologies • Utilize Azure Data Lake and Azure Data Factory for data warehousing tasks • Implement Business Intelligence and Data Warehousing (BI DW) strategies • Utilize Microsoft SQL Server and SQL Server Business Intelligence for data management.• Proficiency in cloud technologies is essential
• Experience with data visualization tools is required
• Strong analytical skills are necessary
• Knowledge of API development is crucial
• Familiarity with AWS technologies is desirable
• Proficiency in Azure Data Lake and Azure Data Factory is expected
• Experience with data warehousing is a must
• Knowledge of Business Intelligence and Data Warehousing (BI DW) is required
• Proficiency in Microsoft SQL Server, Microsoft SQL Server, and SQL Server Business Intelligence is necessary
• Experience with Microsoft Power BI and Power BI is a plus
• Attention to detail and problem-solving skills are essential
• Excellent verbal and written communication skills are required
• Ability to work in a team and independently is necessary
• Bachelor's degree in Computer Science, Engineering, or a related field is required
• Relevant industry experience is desirable.
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