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Sr Data Engineer I - Global Commercial Services

Job Description - Sr Data Engineer I - Global Commercial Services

Description
The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
Global Commercial Services (GCS) serves millions of business customers around the world, from mom-and-pop shops to approximately 70% of the S&P 500. We are the number one issuer of small business cards, the industry leader in corporate T&E and represent approximately 40% of the company’s total revenues. Our vision is to be essential to our customers’ businesses every day. We do that by offering a diverse suite of payment and cashflow tools our customers need to run and grow their businesses, from a wide range of traditional card products, to working capital and supply chain financing, to new digital solutions that make it easy for our customers to manage their financial and payment needs.


Responsibilities
  • Maintain, enhance, and support critical mainframe jobs that ingest data into the corporate data platform. Provide scheduled on-call support to ensure platform health, availability, and operational stability.
  • Partner closely with product teams during discovery, analysis, development, and testing to deliver requirements effectively. Enhance mainframe jobs as needed to support organization-wide project initiatives.
  • Lead modernization architecture and design planning by applying deep expertise in Cobol, DB2, VSAM, DB2 Utilities, JCL, SORT, TSO, DASD, Expeditor, File-Aid, Control-M, Topaz-ISPW, XLR Utilities to support target-state migration to Spark and Airflow.
  • Develop secure, high-quality production code while reviewing and debugging code authored by others. Identify automation opportunities that improve operational stability, efficiency, and system reliability.
  • Apply SDLC toolchain expertise, including approved AI-assisted development and automation capabilities, to increase the value of automation at scale. Participate in technology training and knowledge transfer activities to strengthen team capability.
  • Plan and Implement the DR exercises for Mainframe applications twice an year.
  • Participate in daily standups, sprint planning, and troubleshooting sessions. 


Qualifications
  • Atleast 10 Years of extensive hands on experience in mainframe technologies and tools, including Cobol,  DB2, VSAM, DB2 Utilities, JCL, SORT, TSO, DASD, Expeditor, File-Aid, Control-M, Topaz-ISPW, XLR.
  • Atleast 5 years of experience in scala, python, spark, and PL-SQL.
  • Experience working on databases like Oracle, MS SQL, MaprDB, BigQuery.
  • Proven experience in managing large-scale mainframe implementations and systems.
  • Strong troubleshooting and debugging skills for Mainframe batch applications.
  • Experience in financial services, large scala transactional systems.
  • Bachelor’s in Computer Science or Engineering. 
     
  • Preferred
  • Experience with Cloud Technologies like Google Cloud.
  • Working knowledge of Jira, Rally.
  • Experience in using AI tools like Microsoft Copilot.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions



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