Software Engineer II - Data Engineer
Software Engineer II - Data Engineer
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Description
You thrive on diversity and creativity and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorgan Chase within the Asset & Wealth Management youare part of an agile team that works to enhance design and deliver the data collection storage access and analytics solutions in a secure stable and scalable way. As an emerging member of a data engineering team you execute data solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Organizes updates and maintains gathered data that will aid in making the data actionable. Assist in the design development and implementation of scalable data pipelines and ETL batches using Python/PySpark on AWS.
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access. Use infrastructure as code to build applications to orchestrate and monitor data pipelines create and manage ondemand compute resources on cloud programmatically create frameworks to ingest and distribute data at scale.
- Be responsible for making custom configuration changes in one to two tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases with minimal supervision. Optimize and maintain data infrastructure on cloud platform ensuring scalability reliability and performance.
- Adds to team culture of diversity equity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification ondata engineeringconcepts and 2 years applied experience
- Experience in software development and data engineering with demonstrable handson experience in Python and PySpark.
- Proven experience with cloud platforms such as AWS Azure or Google Cloud.
- Good understanding of data modeling data architecture ETL processes and data warehousing concepts.
- Experience with big data technologies and services like AWS EMRs Redshift Lambda S3.
- Excellent communication skills to work effectively with stakeholders partner teams and to translate technical concepts into business terms. Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab for data engineering platforms.
- Good knowledge of SQL and NoSQL databases including performance tuning and optimization.
- Strong analytical skills to troubleshoot issues and optimize data processes working independently and collaboratively.
- Experience in working within a team of engineers with a proven track record of successful project support.
Preferred qualifications capabilities and skills
- Knowledge of machine learning concepts language models and cloudnative MLOps pipelines and frameworks is a big plus.
- AWS Certifications in data engineering and machine learning is a plus.
- Familiarity with data visualization tools and data integrations.
Employment Type
Full-Time
Key Skills
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