Are you passionate about building scalable systems and solving complex problems? We have the perfect opportunity for you to advance your career in data engineering.

 

As a Data Engineer at JPMorgan Chase within Corporate Technology, you are part of a dynamic team that enhances and delivers robust ETL processes and data integration solutions. You will work with cutting-edge technologies to transform and cleanse data, ensuring high-quality software delivery.

 

Job Responsibilities:

Develop and maintain robust ETL processes for data integration.Utilize big data technologies like Apache Spark (PySpark) for data processing.Write secure and high-quality code in Python and SQL.Build cloud-native applications using platforms such as AWS, Azure, or GCP (AWS).Leverage cloud services for data storage, processing, and analytics.Implement containerization technologies like Docker and Kubernetes (EKS).Apply object-oriented design and data structure fundamentals.Collaborate effectively with cross-functional teams.

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and 2+ years applied experienceStrong hands-on experience in developing and maintaining ETL processes.Knowledge of big data technologies such as Apache Spark (PySpark).Proficiency in Python and SQL.Experience with cloud platforms like AWS, Azure, or GCP (AWS).Hands-on experience with Docker and Kubernetes (EKS).Solid understanding of object-oriented design and data structures.Strong collaboration skills.

Preferred Qualifications, Capabilities, and Skills:

Experience in using Databricks for big data analytics.Experience with data orchestrator tools like Airflow or Prefect.