Sr. Data Engineer

hace 1 semana

México Chubb A tiempo completo

Chubb is the world’s largest publicly traded property and casualty insurer operating in 54 countries, Chubb is making significant investments to thrive in a digital age. Chubb launched its third Technology Hub in Thessaloniki in 2022 which is rapidly developing. Our new center of excellence in Greece is positioned to drive our ongoing business and to support our digital business transformation, as well as the company's operations in the European region which encompasses 27 countries.

Responsibilities Include:
Lead the process of identifying, prioritizing, and resolving production issues, ensuring mínimal disruption to business operations.
Investigate and identify the root causes of incidents to prevent recurrence.
Maintain clear and timely communication with stakeholders, including business users, IT teams, and management, throughout the incident lifecycle.
Continuously monitor the data warehouse's performance, identifying bottlenecks and areas for improvement.
Implement performance tuning techniques to optimize query execution times, ETL processes, and overall system performance.
Collaborate with other teams to ensure the data warehouse has sufficient resources to meet current and future demands.
Implement and maintain data validation processes to ensure the accuracy and integrity of data in the data warehouse.
Address data quality issues, including data cleansing and transformation, to ensure data accuracy and consistency.
Participate in the planning and execution of data warehouse releases, ensuring mínimal disruption to production operations.
Test new releases and changes to the data warehouse environment to ensure stability and functionality.
Build and maintain strong relationships with business users, IT teams, and other stakeholders.
Maintain comprehensive documentation of the data warehouse architecture, processes, and procedures.
Possess a strong understanding of data warehouse technologies, ETL processes, and database management systems.
Demonstrate strong analytical and problem-solving skills to effectively address technical issues and challenges.
Lead and mentor team members, providing guidance and support as needed.
Bachelor’s degree required in Computer Science, Computer Information Systems, Information Systems, Information Technology or Computer Engineering or equivalent work experience
8+ years of Strong understanding of ETL development concepts and tools such as ETL development solutions (Informatica/IICS)
5+ years of Experience with Data Warehousing and Cloud Technologies like Azure (Synapse, Data bricks, Snowflake ).
3+ years of experience in scheduling jobs using Autosys (or comparable distributed scheduler)
3+ years of experience writing Unix/Linux or Windows Scripts in tools such as PERL, Shell script, Python, etc.
3+ years of experience in creating complex technical specifications from business requirements/specifications. Demonstrated critical thinking skills and the ability to identify and resolve data quality issues, performance bottlenecks, and other ETL-related problems
Excellent communication and interpersonal skills
Experience leading a team and providing technical guidance to junior data engineers

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