Data Engineering - Feature Team Lead - New Jersey, Jersey City

The announced job offer is made public by the firm: JPMorgan Chase & Co. and it was included in jobs list the date of: 2022-10-22 in the website greenenergyjobsonline.com.

It is announced that they have a job offer at the category of Engineering and the jobs location is in the state of New Jersey at the city Jersey City, in the country US - at this current ZipCode: 07097

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As a Feature Team Lead within the Data Platform Engineering team, you will be responsible for designing and building scalable cloud-native foundational data solutions. In this role, You'll bring critical day-to-day leadership and thinking to the table, working with teams of architects, aligning cross-functional projects, ensuring that they're within reason, fiscally and technically. You will design strategically while building applications that solve for real-world use cases. You will create logical designs, describe the deployment of the designs on a physical platform then build applications based on articulated designs, recognizing alternatives and proposing choices throughout the process. You'll collaborate with internal teams and business leaders alike, creating strategically sound Target State Architectures. You will create engineering designs, best practices, guidelines and procedures, as well as repeatable and scalable frameworks to successfully manage large amounts of data, ensuring compliance with data classification requirements while maintaining data integrity and accessibility. Requirements Bachelor's or Master's degree in Computer Science/Software Engineering or a related field. Expertise in application, data, and infrastructure architecture disciplines. Fluency in cloud-native architecture and design across all systems. Strategic thinking and passion for business strategy and business processes. Experience in risk and risk control compliance. Excellent interpersonal skills and ability to communicate with clarity, brevity and tailor message to a technical or business audience. Ability to make sound architecture decisions based on enterprise architecture principles, structural (integration patterns, frameworks, configurability, etc.) and operational characteristics ( security, reliability, availability, scalability, cost, etc.) Expertise in modernization using micro-front end patterns, micro-services & APIs, Event Driven Architecture (Kafka), Containerization/Kubernetes, and NoSQL databases (Cassandra, etc.) Familiarity with multiple enterprise integration patterns & techniques. Ensure that any capability gaps are clearly laid out and fed into the platform backlog for future roadmap Experience in architecting for private & public cloud (AWS, GCP, Azure) with AWS experience being strongly preferred Experience in domain driven design, lean architecture and agile delivery 6+ years of experience working in big data environment, working with structured, semi-structured and unstructured data Strong software engineering and object-oriented programming skills with expertise in languages such as Scala and Java; and open source frameworks/libraries, such as Apache Spark, Apache Airflow Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBase Strong attention to detail and ability to manage multiple projects and stakeholders Familiar with development tools such as Jenkins,, SVN/Crucible/Jira, Git/Stash Nice to Have Experience with containers, Kubernetes, Docker, Amazon EKS, Amazon ECS Experience in building apps for real-time streaming using Apache Spark Streaming, Apache Kafka and/or Amazon Kinesis Experience in re-engineering and migrating on-premises data solutions to and for the cloud Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint Experience implementing security solutions for data storage and processing in the cloud