Principal Data Engineer

Posted 12 Days Ago
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
7+ Years Experience
Information Technology • Travel
The Role
Design and develop cloud native applications using Big Data stack, handle end-to-end data flow and processing, and mentor scrum teams to meet product expectations. Must have 12+ years of industry experience with 10+ years in Big Data technologies and deep expertise in Spark, Scala, Python on platforms like Databricks.
Summary Generated by Built In

Job Title

Principal Data Engineer

Job Description

Main Responsibilities:

  • Design and develop cloud native applications using Big Data stack, handling end to end data flow and processing
  • Thought-leader in data architectures, ETL/ELT frameworks, and highly scalable data model design
  • Thought leader in defining the roadmap to tune performance of complex big data applications.
  • Experience in full product lifecycle from feature feasibility study/ defining solution to production and maintenance, taking ownership of complete feature delivery with quality 
  • Mentor and advise the scrum teams to meet product expectations
  • Work with distributed teams, Dev Leads, Architects/Experts, Managers, and counterparts in different locations, as well as with external teams. 

About the ideal candidate

  • 12+ years of industry experience with strong technical experience of which 10+ years in Big Data technologies, Cloud, and ETL/ELT frameworks etc.
  • Deep expertise working with Spark - Scala, Python, on platforms like Databricks, and deep expertise in cloud platforms preferably Azur
  • Must have knowledge of CI CD deployments
  • Experience in Micro-service architecture is a must-have.
  • Experience with logging management using Splunk/ELK including monitoring best practices
  • Should have cracked problems on the scale, and performance in Spark using cloud based platforms
  • Expertise in best practices, design patterns, and anti-patterns.
  • Competency in professional engineering best practices and processes relating to software development lifecycle (scrum, architecture/design/coding standards, design/code reviews, unit testing, build processes, testing, operations, etc)
  • Excellent collaboration as well as written and oral communication skills.
  • Cloud/SaaS (particularly Azure) experience will be an added advantage but not mandatory
  • Experience working with Openshift and Kubernetes, Helm, and Jenkins is added advantage 

Keywords: Spark, Scala, Python, Big Data Engineer, Azure Databricks, Event Driven, Microservices, Java, API, Cloud, Azure, Event hub

Diversity & Inclusion

Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.  

Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.  

Top Skills

Python
Scala
Spark
The Company
HQ: Madrid
10,001 Employees
On-site Workplace
Year Founded: 1987

What We Do

Travel powers progress. Amadeus powers travel. Amadeus’ solutions connect travelers to the journeys they want, linking them via travel agents, search engines and tour operators to airlines, airports, hotels, cars and railways.

Technology has always been critical to developing global travel, increasing scale, choice and access. We have developed our technology in partnership with the travel industry for 30 years.

We combine a deep understanding of how people travel with the ability to design and deliver the most complex, trusted, and critical systems our customers need.

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