Etl Testing+Insurance+BI - Manager

Leading ETL automation initiatives to enhance data processing efficiency

• Managing data engineering projects using platforms like Apache Airflow and Azure Data Factory
• Developing and optimizing data pipelines and data architecture for seamless integration
• Implementing database management and security best practices across AWS and Snowflake platforms
• Guiding teams in strategic planning and execution of data transformation strategies
• Utilizing analytical thinking to troubleshoot and validate data warehouse indexing and performance tuning
• Building and maintaining relationships with stakeholders to address data challenges and opportunities
• Promoting the use of innovative technologies and leading practices in data engineering and analytics
• Coaching and mentoring junior staff to develop skills in data infrastructure and modeling
• Confirming data quality and validation processes to support accurate and reliable analytics

What You Must Have

• At least a Bachelor's degree
• At least 9-14 years of experience
• Oral and written proficiency in English required
• ETL Automation + Guidewire Insurance - Manager

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for data engineering
• Developing data architecture and data integration strategies for cloud platforms
• Implementing data anonymization and database security best practices
• Excelling in coaching and mentoring junior staff in data analytics
• Leading data transformation projects with strategic planning and execution
• Embracing change and innovation in data modernization initiatives