Data Engineer III: Scalable ELT Pipelines & Security

Aumni; Dublin; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

JPMorgan Chase is seeking a Data Engineer to design and deliver scalable data collection, storage and analytics solutions. You will build, test and maintain data pipelines supporting multiple business functions, with emphasis on security and reliability.

You will use Python, Databricks and SQL to implement ELT workflows, while aligning with CI/CD practices and enterprise data governance. A collaborative, continuous-improvement culture awaits.

Qualifications

• Formal training or certification in software engineering with 3+ years applied experience.
• Strong working knowledge of AWS, Databricks and Python.
• Experience across the data lifecycle and advanced SQL skills.
• Familiarity with NoSQL databases and data security practices.
• Experience with statistical data analysis and selecting appropriate tools.

Responsabilités

• Develop workflows and ELT pipelines using Python and Databricks.
• Review controls to protect enterprise data.
• Implement data security using entitlements frameworks.
• Update data models based on new use cases.
• Work with SQL and NoSQL databases to support analytics.

Connaissances

AWS

Databricks

Python

SQL

NoSQL

Data analytics

CI/CD pipelines

Data security

Formation

Formal training or certification in software engineering

Outils

CI/CD tools

Description du poste

JPMorgan Chase is seeking a Data Engineer to design and deliver scalable data collection, storage and analytics solutions. You will build, test and maintain data pipelines supporting multiple business functions, with emphasis on security and reliability.

You will use Python, Databricks and SQL to implement ELT workflows, while aligning with CI/CD practices and enterprise data governance. A collaborative, continuous-improvement culture awaits.