Senior
Data Engineer – Python, PySpark & AWS
Location:
Plano, TX
Relocation
: Open
Open for W2 only- No c2c/1099 or third party resumes
Due to the nature of the roles client is only
accepting USC/GC /GC EAD only no other visas accepted.
Role
Overview
We are
seeking a hands-on Senior Data Engineer with strong Python, PySpark, and AWS
experience to develop and maintain scalable data pipelines and distributed data
processing solutions. The ideal candidate will have experience supporting
production data engineering workloads, cloud infrastructure, and data
orchestration.
Key
Responsibilities
- Develop, test, and maintain ETL/ELT data pipelines using Python and
PySpark.
- Build and support big-data processing solutions on AWS using S3,
EMR, and Lambda.
- Implement infrastructure automation using Terraform.
- 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, and
native schedulers.
- Troubleshoot pipeline failures and optimize performance,
reliability, and data quality.
Required
Skills
- Strong 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, and
Cassandra.
- Experience with Airflow, Control-M, or other workflow scheduling
tools.
Preferred: Databricks experience and exposure
to machine-learning workflows.