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Priceline.com - Senior Data Engineer - Python/Spark

PRICELINE.COM TECHNOLOGY INDIA LLP
4 - 7 Years
Mumbai

Posted on: 23/02/2026

Job Description

Description :

Company Description :


Priceline, a part of Booking Holdings Inc., has been a pioneer in online travel for over 25 years, offering innovative technology to make travel affordable and accessible for millions of travelers annually.

By connecting people with opportunities for vacations, celebrations, and special events, we help customers create priceless memories.

We value inclusivity and are committed to building a talented, diverse team that is passionate about growing, learning, and supporting our mission.

If you are driven to deliver exceptional experiences, join us to shape the future of travel.

Role Description :


This is a full-time, on-site role for a Senior Data Engineer, based in our Goregaon office.

As a Senior Data Engineer, you will design, implement, and maintain scalable data pipelines to process complex datasets.

You will work closely with cross-functional teams to develop analytics tools, ensure data quality, and optimize database performance.

The role also involves collaborating with stakeholders to understand business requirements and building data integration processes to support business analytics and decision-making.

Qualifications :


- Proficiency in Data Engineering concepts including ETL development, data integration, and pipeline optimization.

- Strong skills in programming languages such as Python, SQL, and experience with big data tools like Spark or Hadoop.

- Experience with cloud platforms and services such as AWS, Google Cloud, or Azure related to data workflows.

- Knowledge of database management systems, data warehousing technologies, and data modeling principles.

- Ability to collaborate with cross-functional teams, communicate effectively, and translate business requirements into technical solutions.

- Experience with business intelligence tools and data visualization is a plus.

- Relevant educational background in Computer Science, Data Science, or a related field (Bachelors degree or higher).


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