Software Engineer III -Python and Databricks

J.P. Morgan; Glasgow; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading global financial institution seeks a Software Engineer III in Glasgow to design and deliver secure technology solutions. The role requires expertise in Python, Databricks, and big data technologies. Candidates must have a mix of software development and data analytics skills, while fostering a diverse team culture and contributing to continuous improvement initiatives.

Qualifications

• Formal training in Databricks and proficient experience required.
• Advanced in Python and understanding of software development processes.
• Experience in performing data analytics on AWS and ETL transformations.

Responsibilities

• Design and deliver scalable software solutions as part of an agile team.
• Develop secure production code and maintain algorithms for various systems.
• Analyze and visualize large data sets to improve software applications.

Skills

Databricks

Python

Big Data technologies

SQL

AWS data analytics

Apache Kafka

Machine Learning

Tools

Snowflake

Apache Spark

Hive

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 firm’s 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 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.