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 cutting-edge 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

📌 Etl Testing+Insurance+BI (Bengaluru)
🏢 PwC
📍 Bengaluru