Senior Data Engineer – Python, PySpark & AWS

Relocation: Open Open for W2 only- No c2c/1099 or third party resumes Due to the nature of the roles client is onlyaccepting USC/GC /GC EAD only no other visas accepted. RoleOverviewWe areseeking a hands-on Senior Data Engineer with strong Python, PySpark, and AWSexperience to develop and maintain scalable data pipelines and distributed dataprocessing solutions. The ideal candidate will have experience supportingproduction data engineering workloads, cloud infrastructure, and dataorchestration. KeyResponsibilitiesDevelop, test, and maintain ETL/ELT data pipelines using Python andPySpark. Build and support big-data processing solutions on AWS using S3, EMR, and Lambda. Develop data integrations using REST APIs, Kafka, and MQ messaging. Support data storage and retrieval using Cassandra. Orchestrate and monitor workflows using Airflow, Control-M, andnative schedulers. Troubleshoot pipeline failures and optimize performance, reliability, and data quality. RequiredSkillsStrong hands-on Python and PySpark experience. Experience with big-data processing and production data pipelines. AWS experience with S3, EMR, and Lambda. Working knowledge of Terraform. Familiarity with Kafka, MQ messaging, REST APIs, Java, andCassandra. Experience with Airflow, Control-M, or other workflow schedulingtools.

Preferred: Databricks experience and exposureto machine-learning workflows.