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As well as development, the role will drive dev ops principles in terms of CI/CD, SDLC optimisation, Performance testing data quality. 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.
The ideal candidate will have a proven track record in application development, hitting timelines and the ability to solve complex data problems across legacy and future state technology.
As an experienced member of our Software Engineering Group we look first and foremost for people who are passionate around solving business problems through innovation
Write maintainable & testable code that is consistent with micro-service architecture principles
Build Cloud Native applications from a Domain driven design and micro-services architecture perspective, identifying bounded contexts and service interactions, supporting multiple API versions with backward compatibility
Package services using Docker and configuring & deploying on Kubernetes platform
Build fully automated CI / CD pipelines, support software solutions that are highly secure.
Write test cases using mocking frameworks like jmockit, mockito etc. and well versed with functional / regression, integration and performance testing
Collaborate to design solutions including conceptual, logical and physical data models
Participate & effectively contribute in scrum ceremonies with the product owner and scrum team.
Work with partner technology teams to ensure successful integration
Research and learn new methodologies & technologies and bring knowledge to the team
Extensive experience in a Big Data technology (Hadoop and Spark Architecture, Spark SQL, HIVE, SQOOP or AWS S3, Airflow, Redshift)
Experience with Data warehouses
Experience in Map Reduce
Experienced in writing and optimizing complex SQL queries
Communicate complex issues in a crisp and concise fashion to multiple levels of management.
Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations
Experience in the below would be advantageous
Experience in cloud implementation
Experience in implementing complex ETL transformations in Hadoop platform
Experience with Python
Experience performing data analytics on Hadoop-based platforms
Experience in implementing distributed and scalable algorithms (Hadoop, Spark)
Experience in DevOpsJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
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