About the role
Job Description:
- Key Responsibilities: Responsible for designing Data Engineering solutions on bigdata ecosystem, developing custom applications, and modifying existing applications to meet distinct and changing business requirements. Hands on coding, debugging, and documentation, as well working closely with SRE team. Provide post implementation and ongoing support and design software applications, translating user needs into system architecture. Assess and validate application performance and integration of component systems and provide process flow diagrams. Test the engineering resilience of software and automation tools. You will be challenged with identifying innovative ideas and proof of concept to deliver against the existing and future needs of our customers. Software Engineers who join our Loyalty Technology team will be assigned to one of several exciting teams that are developing a new, nimble, and modern loyalty platform which will support the key element of connecting with our customers where they are and how they choose to interact with American Express. Be part of an enthusiastic, high performing technology team developing solutions to drive engagement and loyalty within our existing cardmember base and attract new customers to the Amex brand. The position will also play a critical role partnering with other development teams, testing and quality, and production support, to meet implementation dates and allow smooth transition throughout the development life-cycle. The successful candidate will be focused on building and executing against a strategy and roadmap focused on moving from monolithic, tightly coupled, batch-based legacy platforms to a loosely coupled, event-driven, microservices-based architecture to meet our long-term business goals.
- Must Have Qualifications: Bachelors degree in engineering or computer science or equivalent OR Masters in Computer Applications or equivalent. 5+ years of software development experience and leading teams of engineers and scrum teams 3+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) 5+ years experience on Python or Java Hands-on experience on writing and understanding complex SQL(Hive/PySpark- dataframes), optimizing joins while processing huge amount of data Hands on Experience on Google Cloud Platform (BigQuery, DataProc, Cloud Composer) Experience in UNIX shell scripting
- Additional Good to have requirements: Solid Datawarehousing concepts Knowledge of Financial reporting ecosystem will be a plus Experience with Data Visualization tools like Tableau, SiSense, Looker Expertise on Distributed ecosystem Deep expertise on Hadoop and Spark Architecture and its working principle
- Ability to design and develop optimized Data pipelines for batch and real time data processing Should have experience in analysis, design, development, testing, and implementation of system applications Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows Aptitude for learning and applying programming concepts. Ability to effectively communicate with internal and external business partners. 2+ years of experience in designing and building solutions using Kafka streams or queues Experience with NoSQL i.e., HBase, Cassandra, Couchbase or MongoDB.
Any Degree
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