Software Engineer III - (Python, Pyspark, Databricks, AWS)

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Databricks Developer at JPMorgan Chase within the Reporting Technology team, you will play a pivotal role in our data transformation journey. You will be responsible for designing, developing, and implementing cloud-based solutions to replace existing vendor software, supporting the daily needs of Finance users across different APAC locations.

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, opportunity, inclusion, and respect
  
  

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience in programming languages such as Python and Big Data technologies like Spark, Kafka.
• Strong expertise in Databricks and AWS Cloud.
• Proven experience in SQL database management and development.
• Proficiency in software development processes, including DBX framework and Agile methodologies.
• Experience with data integration, ETL processes, and data warehousing.
• Excellent problem-solving skills and attention to detail.
  
  

Preferred Qualifications, Capabilities, And Skills

• AWS, Google, or Azure certification.
• Databricks Certified Data Engineer or equivalent.
• Knowledge of DevOps practices and CI/CD pipelines, containerization - Docker, Kubernetes, etc.