Data Engineer III - Python, SQL - Senior Associate

Testing Site - JPMC; Greater London; Vor Ort; GBP 70.000 - 110.000; Vollzeit

Zusammenfassung

JPMorgan Chase is seeking a Data Engineer III to design and deliver scalable data pipelines and architectures. You will work within an agile team to collect, store, and analyze data securely for various business functions, driving innovation and continuous improvement.

The role emphasizes reliable data engineering practices, collaboration with skilled professionals, and contribution to the firm’s objectives through robust data solutions and scalable architectures.

Qualifikationen

• Formal training or certification in software engineering plus 3 years of applied experience.
• Strong knowledge of AWS, Databricks and Python.
• Experience across the data lifecycle.
• Advanced SQL skills with joins and aggregations.
• Working understanding of NoSQL databases.
• Experience with statistical data analysis and selecting appropriate data patterns.
• Use AWS for developing, deploying and managing applications at scale.
• Familiar with SDLC tools, CI/CD pipelines, unit testing, regression and performance testing.

Aufgaben

• Develop workflows and ELT pipelines using Python and Databricks.
• Support review of controls to ensure protection of enterprise data.
• Implement data security using entitlements frameworks.
• Update logical or physical data models based on new use cases.
• Use SQL frequently and understand NoSQL databases.

Kenntnisse

Python

Databricks

AWS

SQL

NoSQL

Data analysis

CI/CD

Data security

Data pipelines

Data modeling

Tools

Aurora Postgres

MongoDB

CI/CD tools

Databricks

Jobbeschreibung

Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You'll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.

As a Data Engineer III in our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm's goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement.

Job responsibilities

• Develop workflows and ELT pipelines using Python and Databricks.
• Support review of controls to ensure sufficient protection of enterprise data.
• Implement data security using entitlements frameworks.
• Update logical or physical data models based on new use cases.
• Use SQL frequently and understand NoSQL databases

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3 years applied experience.
• Good working knowledge of AWS, Databricks, and Python.
• Experience across the data lifecycle.
• Advanced at SQL, including joins and aggregations.
• Working understanding of NoSQL databases.
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
• Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
• Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.

Preferred qualifications, capabilities, and skills

• Familiarity with the Standardized data layer practises (Medallion architecture)
• Exposure to Aurora Postgres and MongoDB
• Skills in designing efficient data models including normalization, denormalization, and schema design and an understanding around relational and star schemas.