Software Engineer II Data Engineer
Software Engineer II Data Engineer
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Job Description
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 experience
- Strong 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.
Employment Type
Full-Time
