Software Development Engineer- II (Big Data)

Expedia Group

Gurgaon, India

4d ago

Job Description :

Expedia Group is looking for a big data developer to build a data platform, turning event streams into actionable intelligence in real-time.

In this role, you will be key to defining vision, design, and implementation from the ground up. This is not just an opportunity to build something new and innovative, but also to be at the center of Expedia transformation to a data-driven, smart platform for travelers and suppliers.

Are you ready to accelerate a large and growing travel business by combining flexible APIs, micro-services, and distributed data processing pipelines, designing it all to scale quickly using cloud computing platforms?

Do you have the experience and judgment to establish new design patterns and mentor other developers, so we create a foundation that can be relied on for years to come?

We'd love to talk to you!

What you’ll do :

Design and build high scale, real-time and batch data processing pipelines.

Be a part of our development team and actively participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing and roll-out, and support.

Solve complex business problems by utilizing disciplined development methodology, producing scalable, flexible, efficient and supportable solutions using appropriate technologies

Who you are :

5+ years of experience developing solid code in java or python, with a BS in Computer Science or equivalent.

Software development experience in big data technologies Hadoop, Hive, Spark.

Software development experience in real-time distributed computing with Storm, Kafka.

Solid experience in object-oriented programming, especially Java or Scala, design patterns, etc.

Strong computer science fundamentals in data structures, algorithm design, problem-solving, and complexity analysis.

Familiarity with SQL-based databases (Oracle, MySQL, etc.)

Familiarity with distributed systems and computing at scale.

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