Data Engineer 4

Job Title

The successful candidate will be:

• Big Data engineer having extensive coding experience in Spark & Scala. He/She should be able to work well within a product-based organization (product mindset) and with a team comprising of developers & functional experts on a critical customer-facing product.  Has prior experience of at least 2 years as a PO, or lead business analyst and is comfortable with technical products.

• Should have handled one e2e implementation of creating a data pipeline using spark and in-depth knowledge of spark performance tuning.

• Good to have experience in microservices-based architecture.

• Autonomous, motivated and self-driven.

• The candidate should have some prior experience in managing direct customer communication and expectations management and ability to handle ambiguity.

• The candidate should have strong stakeholder management skills to manage dependencies across multiple teams and lead discussion with multiple stakeholders.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Ready to work with a DevOps mindset with other engineers.

• Candidate should be able to understand Application architecture and align with overall product functionality and vision.

• Excellent English verbal and written communication skills.

• Strong analytical and Conceptual Thinking to perform efficient root cause analysis and drive resolutions.

• Airline industry knowledge is a strong positive.

Technical Skill:]Havd dc

• 10+ years of experience in analysis, design, development, documentation, implementation, and testing of software products using Spark, Scala and Big data tech stacks

• At least 6+ years of working with Big Data Tech stacks: Databricks, Kafka, Spark, and experience on  Azure cloud platform.

• Good to have experience with NoSQL Data using MongoDB/Cassandra/HBase etc.

• Good to have experience in microservices-based architecture.

• Sound Knowledge of OOPs concepts (Class loading, Memory Management, Transaction management, Multithreading, Garbage collection, Performance optimization), Data structures, and Design Patterns.

• Sound experience with Streaming data using Apache Kafka and processing it in real time with optimum performance. Experience in Messaging architecture using MQ is a plus.

• Designing and developing high-volume, low-latency applications for mission-critical systems and delivering high availability and performance.

Key Words:

• Scala, Databricks, Kafka, Spark, Azure, NoSql, DataLake, Big Data, Steaming.

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.