Data Engineer

Premier Inn Hotels LLC (UAE); Chicago (IL); On-site; USD 120,000 - 160,000; Part time

Job summary

Premier Inn Hotels LLC (UAE) is seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines in cloud environments using PySpark, Databricks, and AWS Redshift. The role emphasizes hands-on development and data processing expertise in a cloud-first setting.

The ideal candidate has 7+ years of data engineering experience, strong Python and SQL skills, and a proven ability to produce production-ready ETL/ELT pipelines within data warehousing contexts.

Qualifications

• 7+ years of experience as a Data Engineer working on large-scale data platforms.
• Hands-on experience with PySpark.
• Experience with Databricks and production data pipelines.
• Strong AWS Redshift experience.
• Proficiency in Python and SQL.
• Experience building ETL/ELT pipelines.
• Knowledge of data warehousing and distributed processing.
• Experience with cloud-based data platforms, preferably AWS.
• Strong troubleshooting and performance-tuning skills.
• Experience in e-commerce/airlines/transport/logistics desirable.

Skills

PySpark

Databricks

AWS Redshift

Python

SQL

ETL/ELT pipelines

Data warehousing

Distributed data processing

Cloud-based data platforms

Tools

Databricks

Job description

Location: Chicago, IL (locals Only)

Employment Type: W2 Contract

Job Description

We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to join our data engineering team. The ideal candidate will have a solid background in designing, building, and optimizing scalable data pipelines and data processing solutions in cloud-based environments.

Requirements

Required Qualifications

• Atleast 7 plus years of Strong professional experience as a Data Engineer working with large-scale data platforms.
• Extensive hands-on experience with PySpark.
• Strong experience with Databricks, including developing and optimizing production data pipelines.
• Strong hands-on experience with AWS Redshift.
• Proficiency in Python and SQL.
• Experience building and maintaining ETL/ELT pipelines and data processing workflows.
• Strong understanding of data warehousing, data modeling, and distributed data processing concepts.
• Experience working with cloud-based data platforms, preferably AWS.
• Strong troubleshooting, performance-tuning, and problem-solving skills.
• Prior experience within e-commerce, airlines, transportation, or logistics environments is highly desirable.