Job Description
As a member of our Data Engineering Group, we look first and foremost for people who are passionate about leveraging data to drive business outcomes through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the data lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.
Our data engineers work on the acquisition, transformation, and management of large-scale data assets, and create solutions that integrate seamlessly into existing architecture.
Job Responsibilities
Acquire and manage data from different data sources and data storages
Identify, analyze, and interpret trends or patterns in complex data sets
Transform existing ETL logic on AWS and/or Databricks or equivalent cloud AI platform
Innovate new ways of managing, transforming, and validating data
Implement new or enhance services and scripts (in both object-oriented and functional programming)
Establish and enforce guidelines to ensure consistency, quality, and completeness of data assets
Apply quality assurance best practices to all work products
Analyze, design, and implement business-related solutions and core architectural changes using Agile programming methodologies with a development team
Qualifications
Bachelor’s degree or equivalent experience
Proficiency in advanced Python programming, with experience utilizing libraries such as Pandas and/or NumPy
Proficiency in Spark fundamentals and implementing complex ETL transformations using Spark
Experience with the AWS data engineering stack, including S3, Glue, Athena, Redshift, Kinesis, EC2, EMR, Lambda, EKS, RDS, and others
Experience in Infrastructure as Code (Terraform)
Experience developing APIs leveraging different back-end data stores
Familiarity with relational database environments (Oracle, SQL Server, etc.), leveraging databases, tables/views, stored procedures, etc.
Familiarity with NoSQL databases
Hands-on experience with AI/IA,
Fluent in English
Preferred Qualifications, Capabilities, and Skills
- Machine Learning, and NLP in production contexts.
Financial Services and Commercial Banking experience is a plus
At J.P. Morgan, we value the unique skills of every employee. Our company encourages professional growth and career development and offers competitive benefits and compensation. We invite you to join a diverse community of technologists that contributes to the success of the Buenos Aires Corporate Center and the Global Technology organization. If you're ready to put your passion for data and technology to work in a way that makes a real difference, apply today.