Data Engineer II - Databricks and Python

Join our Digital Intelligence team at J.P. Morgan as a Databricks Data Engineer to design, develop, and maintain scalable data processing solutions using Databricks, Python, and AWS. Collaborate with cross-functional teams to deliver high-quality data solutions that support business objectives.

Responsibilities

• Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build robust solutions.
• Create secure, production-ready code and maintain algorithms that run in concert with relevant systems.
• Produce architecture and design artifacts for complex applications and ensure design constraints are met by software development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems.
• Identify hidden problems and patterns in data to drive improvements in code quality and system architecture.
• Contribute to software engineering communities of practice and explore new technologies.
• Provide guidance to the immediate team on daily tasks and activities, and set expectations for output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products in line with business requirements.
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, SLAs, and business requirements.

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in data mapping, data architecture, and data modeling on Databricks.
• Extensive experience in AWS, designing, implementing, and maintaining data pipelines using Python, PySpark on Databricks.
• Proficient in Python and PySpark, able to write and execute complex queries for data curation and building end-user views (single and multi-dimensional).
• Strong understanding of front-end and back-end technologies with a focus on seamless user experiences.
• Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
• Experience provisioning and maintaining EC2/ECS, S3, Glue, and Lambda services.
• Experience building Notebooks with complex code structures and debugging failed jobs.
• Proven ability to deliver high-quality features into production in a rapid, iterative development environment.

Preferred Qualifications, Capabilities, And Skills

• Experience with machine learning and data science workflows.
• Familiarity with data visualization tools and techniques.
• Knowledge of data governance and security best practices.
• Experience in carrying out data analysis to support business insights.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, and institutions. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes and accommodate religious practices and health-related needs as appropriate. Visit our FAQs for more information about requesting accommodations.

About The Team

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides strategies across asset classes through a global network of investment professionals. Wealth Management helps individuals, families, and foundations manage their financial goals.

Job Details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology