Data Engineer – Manager

Responsibilities

• Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
• Developing and managing data pipelines, integration, and transformation solutions to support client needs
• Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
• Leading teams in the strategic planning and execution of data-driven projects
• Overseeing the deployment of scalable data solutions using platforms like Databricks and Snowflake
• Guiding team members in data architecture development and database optimization
• Validating data quality, security, and compliance within analytics frameworks
• Identifying opportunities for data utilization to drive business growth and performance
• Mentoring junior staff to develop their skills and encourage innovation
• Addressing conflicts and engaging in critical conversations with clients and stakeholders

• At least a Bachelor's degree
• At least 4 years of experience
• Preference for fields of study:
  Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
• Utilizing Amazon Web Services (AWS) and Azure Data Factory for data engineering
• Developing data architecture and optimization strategies using Snowflake and Databricks
• Implementing data anonymization and security best practices in complex systems
  
  Excelling in dimensional modeling and data pipeline management
• Leading teams in data warehouse troubleshooting and performance tuning
• Mentoring junior staff in data strategy and validation techniques