Data Engineer III

Description

This is your chance to change the path of your career and work at one of the world's leading financial institutions.

As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities:

Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing

Understand PySpark or distributed data processing frameworks

Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases

Have Experience with Airflow on MWAA, Astronomer or Kubernetes

Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda

Working knowledge of Terraform for infrastructure automation

Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture.

Possess Ability to query and manage open-table format datasets.

Designing and optimizing ETL/ELT pipelines.

Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses.

Utilize Experience with version control like GIT, testing frameworks, and code reviews

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years of applied experience

Proficiency in Python/Java technology

Hands-on practical experience in system design, application development, testing, and operational stability

Proficient in coding in one or more languages such as Python/Java

Experience in building solutions using cloud technologies like AWS

Exposure to message streaming technologies such KAFKA/FLINK

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

Overall knowledge of the Software Development Life Cycle

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)