make
{big deal}
moments

Berlin

Data Engineer

R3347

Location

Mumbai

Career Track

Technology

Apply Now

Data Engineer

R3347

Location

Mumbai

Career Track

Technology

This role is eligible for our five day flex office work model.

Data Engineer

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place. 

Why this job’s a big deal:

Enjoy working with big data? We do too!  In fact, data lies at the very core of our business! As a data engineer you will be working on data systems that serve and generate billions of events  each day. With the most advanced big data technologies at your fingertips, you will leverage data to understand, meet, and anticipate the needs of our customers.

In this role you will get to:

  • Apply your Informatica skills across a wide variety of data sets and domains while learning about and transitioning to GCP technologies such as Data Flow, Data Proc, Python, Spark, etc.

  • Work with other motivated and talented team members to produce high quality data products that will be used across the PCLN business landscape from Product Lines (Air, Hotel, Rental Car, etc.) to Operational Groups (Marketing, Customer Service, etc.)

  • Develop new capabilities and data products for the PCLN that will substantially improve PCLN’s business position in the marketplace.

  • Expand your skill set and understanding across the entire development process from requirements through user acceptance testing.

  • Create new technical products to suit general and novel technical use cases.

  • Provide support to existing data products and processes as required.

  • Contribute to team best practices for all aspects of the Development Lifecycle.

Who you are: 

  • Bachelor’s degree in Computer Engineering/Computer Science.

  • 5+ years of work experience in Software Engineering and development.

  • Strong analytical and communication skills.

  • Experience working with large data sets and complex data environments.

  • Experience with  Data transformation, ETL Mappings, Mapplets, Workflows, Worklets using Informatica PowerCenter 10.x and preparing corresponding documentation.

  • Strong experience with SQL and ability to work with advanced SQL functions.

  • In-depth knowledge of Relational Databases and exposure to Cloud computing, Machine Learning and Data Science. 

  • Strongly motivated to produce high quality data and technical deliverables for PCLN’s internal customers including Data Analysts and Data Scientists.

  • Demonstrated history of living the values important to priceline:  Customer, Innovation, Team, Accountability and Trust. Unquestionable integrity and ethics.

#LI-SH1

Apply Now

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