Data Engineer - Production Support

We are seeking a skilled Data Engineer - Production Support to join our data engineering and operations team. In this role, he/she will be responsible for the ongoing support, monitoring, troubleshooting, and optimization of data pipelines, databases, and related infrastructure. He/she will play a critical role in ensuring the availability, reliability, and performance of production data systems and processes. He/she directly supports data integration efforts (within the data marts, ad-hoc queries, and data services) by providing services that ensure Chubb is aligning IT efforts with business information needs.

Responsibilities not listed.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 5 years of experience in data engineering, data operations, or production support roles.
• Proficiency in SQL and data manipulation across large datasets.
• Experience with ETL/ELT tools and pipeline orchestration (e.g., Apache Airflow, Informatica, Talend).
• Familiarity with cloud technologies such as Azure, AWS, or Google Cloud Platform
• Familiarity with scheduling tools such as Autosys
• Strong troubleshooting and analytical skills.
• Experience with scripting languages such as Python, Bash, or PowerShell.
• Experience in CI/CD pipelines for data infrastructure.
• Exposure to data governance and security best practices.
• Familiarity with version control (Git) and agile development methodologies.
• Knowledge of data modeling and warehouse architecture.
• Strong communication and collaboration skills.
• Ability to work under pressure and manage multiple tasks.
• High attention to detail and commitment to data quality.

• Monitor and support production data pipelines, ETL/ELT jobs, and batch processes.
• Troubleshoot data issues, perform root cause analysis, and implement long-term fixes.
• Collaborate with data engineers, analysts, and DevOps teams to ensure reliable data delivery.
• Optimize and maintain performance of SQL queries, stored procedures, and data workflows.
• Develop scripts and automation tools to improve support processes and reduce manual effort.
• Maintain detailed documentation of production incidents, fixes, and best practices.
• Participate in on-call rotations and respond to production outages as needed.
• Ensure data quality and integrity across multiple environments.
• Work with cloud platforms (e.g., AWS, Azure, GCP) and orchestration tools (e.g., Autosys, Airflow, dbt).

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