Software Engineer II- Python and Databricks
Software Engineer II- Python and Databricks
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Job Description
Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver topnotch 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 highquality technology products in a secure stable and scalable way. Your abilities and contributions will significantly influence the business and your deep technical knowledge and problemsolving tactics will be utilized to tackle a broad spectrum of challenges across diverse technologies and applications.
Job responsibilities
- Develops secure and highquality 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 decisionmakers to consider the use and application of leadingedge 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
- Handson 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 SQLs 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
- Understanding of application and data design disciplines with an emphasis on realtime 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.
Employment Type
Full-Time
