Senior Data Engineer

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.

By joining Chubb as a Senior Data Engineer, acting as a Production Support Lead for our North America enterprise data warehouse, you'll be responsible for ensuring the data warehouse operates smoothly and reliably, including incident management, performance optimization, and collaborating with other teams to maintain data quality and system stability.  Our data warehouse platform is a strategic application within the business, feeding into multiple systems and applications both up and downstream with data that directly supports business decisions being made each and every day. With us, you’ll leverage your technical expertise to tactically and strategically handle data discrepancies, and partner with applications teams, IT teams across the business, our stakeholders, and our Data Architect to drive solutions that directly impacts how data is used throughout the business. You’ll have opportunities to build upon your technical skills and insurance knowledge as we continue the evolution of our data warehouse and related infrastructure. Through it all, we’ll also look to you to share your ideas and manage data related projects end to end that influence how we incorporate, validate, and distribute data enterprise-wide. 

Responsibilities Include:

• Lead the process of identifying, prioritizing, and resolving production issues, ensuring minimal 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 minimal 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