Software Engineer III -Python and Databricks
Software Engineer III -Python and Databricks
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Global Banking Data Analytics & Technology division you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.
Job responsibilities
- Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on Databricks and proficient advanced experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) Python is required
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. cloud artificial intelligence machine learning mobile etc.)
- Ability to tackle 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
Preferred qualifications capabilities and skills
- Experience in 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.
- Proficiency across 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
