Software Engineer III - Databricks SQL Python

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

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 JPMorganChase within the Chief Technology Office team, 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.

Our lake house is required to ingest, transform and store additional data sets, that will be used not only to train our AI systems, but also for analytical purposes across multiple use cases. The processing and persistence of data will be managed within the public cloud and will utilise Big Data frameworks such as Databricks and Spark.

We are looking for a Data Engineer to help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other software and data engineers & research scientists. You will serve as a member of an existing agile team that will deliver trusted market-leading AI technology products in a secure, stable, and scalable way.

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
  
  

• Formal training or certification on Software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Extensive development experience using Python/SQL
• Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.).
• Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks).
  
  

• Familiarity with modern front-end technologies
• Exposure to cloud technologies