Lead Data Engineer Branch Workplace Technology at JPMorganChase

DescriptionWe have an exciting and rewarding opportunity for you to take your Data engineering career to the next level.As a Lead Data Engineer JPMorgan Chase within the Consumer & Community Bank - Branch Workplace Technology team you serve as a expert Data Engineer on agile teams to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for leading critical data functions from architecture modelling transformation modernization migration protection security and governance in support of CCB Branch initiatives and objectives.Job responsibilitiesDeliver end-to-end data solutions on cloud infrastructure leveraging the latesttechnologies and the best industry practices.Use domain modelling techniques to allow us to build best in class business products.Guide the evolution of logical and physical data models to support emerging business use cases and technological advancementsBuild solutions that avoid single points of failure using scalable architectural patterns.Develop secure code so that our customers and ourselves are protected from malicious actors.Promptly investigate and fix issues and ensure they do not resurface in the future.Make sure our releases happen with zero downtime for our end-users and Keeping us up to date by continuously updating our technologies and patterns.Structure software so that it is easy to understand test and evolve.See that our data is written and read in a way thats optimized for our needs.Keep an eye on performance making sure we use the right approach to identify and solve problems and ensure our systems are reliable and easy to operate.Support the products youve built through their entire lifecycle including in production and during incident managementRequired qualifications capabilities and skillsFormal training or certification on data engineering concepts and 5 years applied experience.Recent hands-on professional experience as a data engineerExpertise with Relational databases like Oracle SQL Server and PostgresProficient with AWS cloud technologies and distributed systemsProficiency with data transformation frameworks and data pipeline orchestration toolsExperience withdata governance frameworksPrior experience with managing large volumes of data and optimizing data processingExperience in coding with Java or Python programming language and experience in designing and implementing effective tests (unit component integration end-to-end performance etc.)Excellent written and verbal communication skillsUnderstanding of event-base architecture data streaming and messaging frameworksCoach other team members on coding practices design principles and implementation patterns that lead to high-quality maintainable solutions.Manage stakeholders and effectively prioritize work across multiple work streams.Preferred qualifications capabilities and skillsExperience in working in a highly regulated environment / industryUnderstanding of incremental data processing and versioningUnderstanding of RESTful APIs and web technologies Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full-Time Experience: years Vacancy: 1