JPMorgan Software Engineer III -Python Databricks 

United Kingdom, Scotland 

462351409

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 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

• 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.