| Urgent Requirement for GCP Big Data Engineer - Phoenix, AZ - Initial Remote at Phoenix, Arizona, USA |
| Email: [email protected] |
| From: Narsimha Kathi, iTech US [email protected] Reply to: [email protected] Hi , We have a job opportunity for you, please find the below details and let me know your interest ASAP. Role: GCP Big Data Engineer Location: Phoenix, AZ Duration: Long Term Contract Responsibilities: Google Cloud Big Data - Engineer Responsible for designing system solutions, developing custom applications, and modifying existing applications to meet distinct and changing business requirements. Handle coding, debugging, and documentation, as well working closely with SRE team. Provide post implementation and ongoing production support. Develop 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 Cloud software development experience 5+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) 3-5 years of solid experience with GCP BigQuery 3 years of experience working on GCP Compute Engine Good overall understanding of Google Cloud Platform and its services 3-5 years Solid experience with Google Cloud Dataproc Expertise with data structures, data modeling, and software architecture Preferred Qualifications: Experience in Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data. Experience in UNIX shell scripting Knowledge of Financial reporting ecosystem will be a plus 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. Knowledge of Financial reporting ecosystem will be a plus. Experience in designing and building solutions using Kafka streams or queues. Experience with GitHub and leveraging CI/CD pipelines. Experience with NoSQL i.e., HBase, Couchbase, MongoDB SUBMISSION DETAILS LinkedIn: Consultant Name: Current Location: Relocation (Yes/No): Highest Qualification: Year/College/University: Thanks & Regards Narsimha Kathi iTechUS, Inc Direct: 802-735-0270 Phone: 802-383-1500 Ext 141 Keywords: continuous integration continuous deployment Arizona |
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| Tue Oct 24 21:05:00 UTC 2023 |