Python Data Engineer

Premier Inn Hotels LLC (UAE); Plano (TX); Presencial; USD 110.000 - 140.000; Jornada completa

Descripción de la vacante

Premier Inn Hotels LLC (UAE) in Plano, TX is seeking a data engineering specialist to design and implement data pipelines using Python, PySpark and AWS services. The role requires hands-on experience with S3, EMR and Lambda, plus Terraform for infrastructure as code.

You will work with Java, REST APIs, MQ messaging, Kafka and Cassandra, and use Airflow or Control-M schedulers to orchestrate workflows. Experience with Databricks is a plus, and ML model lifecycle familiarity is a bonus.

Formación

• Hands-on experience with Python, PySpark and big data technologies.
• Experience with AWS services like S3, EMR and Lambda.
• Familiarity with Terraform (IaC).
• Knowledge of Java, REST APIs, messaging with MQ, Kafka and Cassandra.
• Experience with Airflow and schedulers (e.g., Control-M).

Responsabilidades

• Strong hands-on experience in Python, PySpark and Big Data technologies for data engineering.
• Practical experience with AWS, specifically S3, EMR, and Lambda.
• Working knowledge of Terraform(infrastructure as code).
• Working knowledge on Java, Rest API, MQMessaging, Kafka, Cassandra
• Working knowledge on Airflow, Control-M, native schedulers

Conocimientos

Python

PySpark

Big data

REST API

Herramientas

AWS

S3

EMR

Lambda

Terraform

Java

MQMessaging

Kafka

Cassandra

Airflow

Control-M

Databricks

Descripción del empleo

Plano, United States | Posted on 10/15/2026

Location: Plano, TX-Onsite
Type: W2 Only
Work Authorization: US Citizen, Green Card, or GC EAD preferred
Locals highly preferred

No C2C, 1099, or third-partyprofiles accepted.

• Strong hands-on experiencein Python, PySpark and Bigdata technologies for data engineering.
• Practical experience with AWS, specificallyS3, EMR, and Lambda.
• Working knowledge of Terraform(infrastructure as code).
• Working knowledge on Java, Rest API, MQMessaging, Kafka, Cassandra
• Working knowledge on Airflow, Control-M,native schedulers

Nice to have

• Experience with Databricks (workspaces,notebooks, jobs).
• Familiarity with machine learning models(e.g., training/inference workflows, model lifecycle) is a plus.