Join our innovative Digital Intelligence team at J.P. Morgan, where we leverage cutting-edge technology to drive data-driven decision-making and enhance business performance. We are seeking a talented and motivated Databricks Data Engineer to join our team and contribute to our mission of transforming data into actionable insights.
As a Data Engineer II at JPMorgan Chase within the Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.
Job Responsibilities:
Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.Contribute to software engineering communities of practice and events that explore new and emerging technologies.Provide guidance to the immediate team of software engineers on daily tasks and activities.Set the overall guidance and expectations for team output, practices, and collaboration.Anticipate dependencies with other teams to deliver products and applications in line with business requirements.Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, 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, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).Strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences.Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.Experience in building Notebooks with complex code structures and debugging failed jobs.Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.Proven ability to deliver high-quality features into production systems in a rapid-paced, 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.