Data Engineer - Python/PySpark
Lorven Technologies Inc
Jersey City, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Jersey City, United States of America
Tech stack
Big Data
Cloud Computing
ETL
Data Systems
Hadoop
Python
NoSQL
Standard Sql
Unstructured Data
Spark
PySpark
Kafka
Data Pipelines
Requirements
- Bachelor's degree in related field.
- 3-6 years of experience as a Data Engineer with strong Python and PySpark expertise
- Experience building scalable ETL/ELT pipelines in big data environments
- Strong understanding of KYC/AML and Client Onboarding domains
- Hands-on experience with Spark, Hadoop, Kafka, and cloud platforms
- Solid knowledge of SQL and NoSQL databases.
- Design, develop, and maintain scalable data pipelines
- Process large volumes of structured and unstructured data
- Implement KYC/AML data solutions supporting client lifecycle management
- Optimize Spark jobs for performance and reliability
- Collaborate with cross-functional agile teams and stakeholders