Java Developer

Job description

As a member of our Software Engineering Group you will dive head-first into creating innovative solutions that advance businesses and careers. You'll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. You'll be tasked with keeping the team and other key stakeholders up to speed on the progress of what's being developed. Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key. And best of all, you'll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world.

 This role requires a wide variety of strengths and capabilities, including:

·  Advanced knowledge of application, data and infrastructure architecture disciplines
·  Understanding of architecture and design across all systems 
·  Working proficiency in developmental toolsets
·  Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
·  Proficiency in one or more general purpose programming languages
·  Understanding of software skills such as business analysis, development, maintenance and software improvement
·  Drive to learn new technologies and apply them pragmatically
·  Experience across the full stack is desirable: database -> back end -> front end

When you work at JPMorgan Chase & Co., you're not just working at a global financial institution.  You're an integral part of one of the world's biggest tech companies. Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get, and remain properly invested.  Across the globe, our team of 4,600+ agile technologists thrive in a cloud-native environment that values continuous learning using a data-centric approach in developing innovative technology solutions.

At JPMorgan Chase & C. we value the unique skills of every employee, and we're building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you're looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.

JPMorgan Chase & Co. is an equal opportunity employer.

Qualifications

 

·  Experience across the full stack is desirable: database -> back end -> front end
·  Deep understanding of data analytics, data profiling, data modeling, passion for modern data driven applications.
·  Familiarity with Agile software development methodologies to ensure the early and continuous delivery of software
·  High energy, demonstrated willingness to learn new technologies, and takes pride in how fast they develop working software
·  Must be self-directed/self-motivated with a clear sense of ownership and a solution oriented approach
·  Strong Knowledge of data extraction transformation ( ETL, ELT ) processes
·  Understanding of big data storage and processing technologies including Hadoop, Spark, Hbase/Cassandra, Spark, Pig and Hive 

Desirable

·  Prior knowledge and experience as technical product deliverables owner
·  Knowledge of relational and non-relational database technologies, big data solutions
·  Knowledge of data science , data mining,
·  Experience using data visualization, dashboard, reporting tools like Qlik , Tableau , Micro strategy 

·  5+ years of experience leading data integration, data management solutions in financial services ( asset management )
·  3+ years of experience analyzing source , target systems , transformation rules, , writing functional and technical specs
·  3+ years of experience in agile software development environment
·  3+ years of experience on data analysis,, data profiling, data quality analysis