Data Engineer III

Job not on LinkedIn

🕒 March 4

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Preferred Hotels & Resorts

Preferred Hotels & Resorts

201 - 500 employees

Founded 1968

👥 B2C

🛍️ eCommerce

B2C • eCommerce • Travel

Preferred Hotels & Resorts is a global brand that represents a collection of some of the finest independent luxury hotels and resorts worldwide. The company focuses on providing memorable luxury experiences through exceptional service, unique accommodations, and high-quality amenities that cater to personalized guest preferences. With properties located in prime destinations across the globe, Preferred Hotels & Resorts emphasizes individuality and local culture while ensuring a high standard of hospitality.

📋 Description

• Design, build, and maintain scalable data pipelines and ETL workflows. • Write advanced SQL queries and implement optimization techniques for performance. • Leverage Microsoft Azure & Fabric, Spark, and Python to automate complex workflows. • Lead engineering efforts on machine learning and artificial intelligence projects. • Develop and maintain robust web APIs (SOAP, REST) to support seamless data integration. • Monitor and troubleshoot data processes, ensuring high availability and minimal downtime. • Manage and prioritize work using the ticketing system and maintain regular communication. • Provide tier 3 support to end users of integrated systems. • Mentor other team members by sharing knowledge and conducting training sessions.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems /other relevant degree or equivalent professional experience. • Expert knowledge of relevant languages, such as SQL, dbt, Python, and/or C# • Expert knowledge of at least one data pipeline orchestration tool, such as Azure Data Factory • Expert understanding of data modeling and ETL concepts. • Experience with version control systems (e.g., Git) and best practices. • Strong problem-solving skills and the ability to work independently on complex tasks.

🏖️ Benefits

• All technology required will be provided

Apply Now

Similar Jobs

🕒 February 28

Capital Rx

501 - 1000

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Data Engineer I developing analytics-ready datasets and metrics for Capital Rx. Collaborates across teams to optimize and enhance data reporting and quality.

Cloud

SQL

🕒 February 28

Capital Rx

501 - 1000

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Data Engineer at Judi Health focusing on developing scalable data solutions for healthcare management. Collaborating with analytics teams to enhance data systems for informed decision-making.

Airflow

Amazon Redshift

ETL

Java

Python

SQL

Terraform

🕒 February 27

Accelerant

201 - 500

☁️ SaaS

🤝 B2B

Data Engineer role focusing on construction and optimization of data platform for a risk exchange company. Engaging in AI, ML processes, and data pipelines.

AWS

Cloud

Python

SQL

🕒 February 5

Keyrus

1001 - 5000

🤝 B2B

Data Engineer designing and implementing scalable data pipelines for different business scenarios in GCP environments. Collaborating with business areas to translate requirements into clear and consistent data models.

🗣️🇧🇷🇵🇹 Portuguese Required

BigQuery

Cloud

Google Cloud Platform

Python

Spark

SQL

Vault

🕒 November 13, 2025

Fractal River

11 - 50

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

Software and Data Engineer building and implementing data pipelines and AI tools for analytics. Collaborating with diverse clients to enhance technical infrastructure and capabilities.

Amazon Redshift

AWS

Azure

BigQuery

Cloud

Docker

Google Cloud Platform

Python

SQL

Terraform