Software Engineer

Job Description

Technical Architect, Cloud & Big DataThe Corporate Technology (CT) organization develops applications and provides technology support for corporate functions across JPMorgan Chase, including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal and all functions within the Corporate Administrative Office (CAO).CT teams are aligned with corporate partners evolving technology needs and the firms ever expanding technology controls agenda.A top CT priority is building scalable corporate systems. Teams focus on:Developing the Corporate Technology Data Lake and Platform Services.Advancing the firms Roadmap programs Single Sourcing of Data, Architecture Convergence and Rationalization of Platforms.Adopting industry leading technologies to support best-in-class business capabilities for high performance computation and data storage solutions.As a key member of the Corporate Technology Data Lake and Platform Architecture team, you will be responsible for designing and building scalable cloud-native foundational data solutions. In this role,You will work closely with a team of passionate data engineers and architects to deliver cloud-native data capabilitiesYou 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 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.You will partner with peers across towers and lines of business to plan and execute a comprehensive data roadmap.RequirementsBachelors or Masters degree in Computer Science/Software Engineering or a related fieldDeeply passionate about learning and innovating using the latest and greatest in big data engineering, cloud and open sourceStrong design skills for individual applications (solution architecture) and across applications (enterprise architecture)2+ years of experience as a solution architect2+ years of experience in designing and implementing data solutions on Amazon Web Services (AWS), using offerings such as: S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift6+ years of experience working in big data environment, working with structured, semi-structured and unstructured dataSound understanding of various data solution patterns and when to use them: ETL/ELT, RDBMS, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text Indexing, Streaming, MessagingStrong 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 AirflowStrong data architecture, data warehousing, data modeling and data manipulation skills, such as in SQL, Stored Procedures, MySQL, Oracle, SQL Server, PostgreSQLKnowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBaseExperience with Agile methodologiesStrong attention to detail and ability to manage multiple projects and stakeholdersFamiliar with development tools such as Jenkins, Rundeck, SVN/Crucible/Jira, Git/StashAbility to produce quality results in an evolving and a fast-paced environmentStrong communication skills, including ability to formulate and present design/architecture proposalsNice to HaveExperience with containers, Kubernetes, Docker, Amazon EKS, Amazon ECS, Amazon FargateExperience in building apps for real-time streaming using Apache Spark Streaming, Apache Kafka and/or Amazon KinesisExperience in re-engineering and migrating on-premises data solutions to and for the cloudExperience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprintExperience implementing security solutions for data storage and processing in the cloudExperience with MPP cloud data-warehouse-as-a-service offerings, such as Snowflake,

Keyskills :
strong communication skillsdata solutionsglobal financejavascriptweb servicesbig datadata integrityopen sourcesqldata modelingapache sparkjqueryamazon web servicesjavaapache kafkasql server