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REQUIREMENTS:

• College or University degree
• 10+ years of experience in Data and Analytics from a modeling and reporting standpoint
• Experience with data warehousing (OLTP vs. OLAP, star schema, snowflake schema)
• 5+ exposure to IT architecture and solutions for data flows among systems and applications
• 3+ years delivering solutions on the Microsoft Azure platform with a special emphasis on data solutions and services
• DevOps, CI/CD, and Data project management
• Strong analytical skills and troubleshooting skills
• Excellent team leadership and communication skills
• Should have good knowledge of testing and validating Analytical solutions
• Azure Data Lake experience plus Databricks and Data Factory
• Very good understanding of Azure PaaS management and resource monitoring
• Very good database skills (Azure SQL and Synapse), scripting and data modeling
• Very good written and spoken English

PURPOSE:

The Data Engineer Manager’s role is to develop and maintain efficient and scalable data projects on JTI’s Central Data Lake Platform. You will ensure efficient and qualitative development support for relevant global applications and projects under the Data Platform and Operations team governance. You will analyze, organize, and combine raw data from different sources and build the corresponding data systems and pipelines to ensure that business needs and objectives are met with the data delivered. You will explore new ways to enhance data quality and reliability with the aim of providing the most optimal data assets for data analysts and data scientists to consume. You have to ensure that reporting consultants will timely assess and implement global changes and projects. You will also coordinate the solution delivery by reviewing and monitoring the development efforts, project plans, and assignments.

RESPONSIBILITIES:

• Implement modern data solutions with Azure Data Factory, Data Lake, Databricks, Azure SQL, and Synapse
• Analyze the impact of new and evolving business requirements and explore the feasibility of how to accommodate them
• Work with Data & Analytics, IT-BTS, and Functions together with external development teams to ensure that the configuration and customization meet business requirements and performance baseline
• Follow up with external developers on problems & incidents related to Central Data Lake Platform processes and failures, and ensure that the cause is identified and fixed.
• Perform UAT and performance & regression testing of new and existing developments to ensure accurate and efficient operation using best practices
• Support production systems including issue resolution
• Develop enhancements and changes based on functional or technical specifications
• Monitor system and project pipeline performance