Data Engineer

• Lead the execution of the analytics and reporting team. 
• Strong hands on in SQL, writing complex analytical queries  
• Provide leadership and direct the execution of information reporting and analytics strategies, policies and plans. 
• Leverage data and analytics techniques to identify and analyze business needs, identify requirements and define the scope and objectives to enable value opportunities. 
• Execute strategies that leverage data and analytics techniques to recommend solutions or improvements to business processes. 
• Provide leadership for the team and help to remove barriers and execute strategies that drive successful outcomes. 
• Identify, analyze, and interpret trends or patterns in complex data sets 
• Work with management and project stakeholders to prioritize business and information needs 
• Locate and define new process improvement opportunities 
• Understanding architectural design and data platform delivery in technologies that include, but are not limited to cloud, ETL, data streaming, data storage, data modelling, APIs/microservices, automation, continuous integration/continuous deployment; 
• Showcasing data engineering knowledge around complex efforts within established Software Development Lifecycles and methodologies including agile, scrum, iterative and waterfall 
• Showcasing technical knowledge that spans multiple platforms and portfolio of applications with demonstrated knowledge of the business strategic priorities in order to resolve complex problems; 
• Utilizing IT processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Reporting, Mobility, Master Data Management, and Search; 
• Understanding of database structure principles; 
• Proven track record and experience in technologies such as: SQL, Snowflake, AWS, Python. 

Requirements

• Proven working experience as a data analyst:    

1. With  experience, the candidate is likely to have extensive experience as a data analyst or business data analyst, providing them with insights into data analysis workflows and business requirements.  

1. Strong analytical skills and experience using statistical packages: