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Data Engineer II - Databricks, Python, PySpark, AWS
JPMorganChase
Actively HiringFull-time
Location
TS, IN
Experience
2+ years
Role
Data Engineer II - Databricks, Python, PySpark, AWS
Salary
Competitive
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Job Description
Role Overview
As a Data Engineer II at JPMorganChase within the Commercial & Investment Bank, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system.
Responsibilities
- Organizes, updates, and maintains gathered data that will aid in making the data actionable
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
- Uses enterprise-authorized AI capabilities to accelerate data analysis support and technical documentation
- Applies reuse-first, AI-assisted approaches to improve data quality checks and model/change validation routines
- Responsible for making custom configuration changes in tools to generate products at business request
- Updates logical or physical data models based on new use cases with minimal supervision
- Adds to team culture of diversity, opportunity, inclusion, and respect
Requirements
- Formal training or certification on data engineering concepts and 2+ years applied experience
- Basic knowledge of the data lifecycle and data management functions, including Data frameworks and Data lakes
- Experience with Batch and Real time Data processing with Spark or Flink
- Working experience with both relational and NoSQL databases
- Experience in ETL data pipelines, Data warehousing, and Databricks
- Proficiency in Python, Java, or PySpark
- Working knowledge of AWS Glue and EMR
- Experience building services using Spring Boot or Flask and deploying on AWS EKS or Kubernetes
- Significant experience with statistical data analysis
Nice to Have
- Expertise in Amazon Web Services (AWS), Docker, and Kubernetes
- Experience in big data technologies: Hadoop, Spark, Kafka
- Experience in distributed system design and development
Skills
- Databricks
- Python
- PySpark
- AWS
- Spark
Required Skills
DatabricksPythonPySparkAWSSpark
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