Client: LTI Mindtree - HybridFulltime EmploymentLocation: Gurgaon OnlyExperience Range: 5-12 YrsMax Budget 5-8Years 20 LPA / 8-12Years 30LPANP : Serving the NP and can join within 60 days Only.
Job description
Big Data : Spark, Hive, Python, SQL
Location GurgaonKey ResponsibilitiesoResponsible 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 as working closely with SRE team Provide post implementation and ongoing supportoDevelop 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 toolsoYou 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 ExpressoBe 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 brandoThe 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 cycleoThe 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
Skills
Big Data-Hadoop-Spark-Python/Scala