Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Software Engineer II at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a pivotal role in an agile team committed to enhancing, creating, and delivering high-quality technology products in a secure, stable, and scalable way. Your abilities and contributions will significantly influence the business, and your deep technical knowledge and problem-solving tactics will be utilized to tackle a broad spectrum of challenges across diverse technologies and applications.
Job responsibilities
* Develops secure and high-quality production code, and reviews and debugs code written by others.
* Contribute to decisions that influence the product design, application functionality, and technical operations and processes.
* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
* Influences peers and project decision-makers to consider the use and application of leading-edge technologies
* Adds to the team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
* Formal training or certification on software engineering concepts and applied experience
* Hands-on practical experience in application development, testing, and operational stability
* Advanced in one or more programming language(s), Python is required
* Knowledge of software applications and technical processes with hands on knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
* Ability to understand design and functionality problems independently with little to no oversight
* Experience performing data analytics on AWS platforms
* Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform.
* Experience in a Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.)
* Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
* Experience with Databricks, Snowflake, Iceberg are required
Preferred qualifications, capabilities, and skills
* Understanding of application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable
* Understanding of the Commercial & Investment Bank business will be useful.
* Understanding of the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus
* Financial Services and Commercial and Investment Banking experience is a plus
* Familiarity with NoSQL database platforms(DynamoDB, Cassandra) is a plus
* Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
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