Big Data Engineer
Egencia
Gurgaon, India
45d ago

Expedia

Brand Specific Description :

HomeAway :

Have you ever had the opportunity to impact the lives of millions of people in a meaningful way and help them enjoy time away with their friends and families building memories?

That is what we do here at HomeAway.com , an Expedia, Inc. company. We are the leading vacation rental website in the world with more than one million online bookable vacation rentals & half a billion visitors every day.

Our mission is to make every vacation rental in the world available to every traveller in the world through our online marketplace and we're committed to helping families and friends find the perfect vacation rental to create unforgettable travel experiences together.

Over million monthly visitors across multiple countries pose some rather interesting technical problems. Taking complex requirements and delivering them via super simple solutions is what makes our job interesting.

Vacation Rentals are undergoing a major drive to improve and modernize the whole of their engineering, analytics function and require a highly skilled Big Data Engineer.

Making sure HomeAway.com helps our customers find the perfect place and wake up happy along with helping organisation leveraging, strategising, weaponise decisions based on clean, consolidated, realtime data is an exciting mission for our Data & Analytics Engineering team.

Position Overview : Big Data Engineer

Responsibilities : Primary Skills

Primary Skills

  • Experienced and Expertise in Big Data eco-system and Data Warehousing projects / products.You should have done at least 2 end to end Big Data’ based enterprise execution.
  • Good understanding of relational and analytical databases.
  • Good on Distributed computing concepts, techniques and their hands-on implementation.
  • Hand on in Spark or Map- Reduce programming.
  • OLTP, OLAP, Multidimensional Cubes, Writing and troubleshoot complex SQLs.
  • ETL, Data transformation, Data pipelines collecting / aggregating data from transactional systems to analytical ones, have them distributed computing on cloud / on prem.
  • Familiarity with at least 1 NoSQL database / its way of working.
  • Software programming life cycle experience Analysis, Design, Coding, Integration, Testing.
  • Have enterprise end to end software development experience.
  • Proficiency in Amazon S3 and cloud storage / computing.
  • Familiarity with Aws (Amazon Web Services) Cloud-stack ex- EC2, EMR etc.
  • Come up with best practices, execute and excel as Big Data Engineering’ centre of excellence.
  • Soft Skills-

  • Understand organisation’s need and able to apply solutions, tools, best practices from an immediate / dire need to a long-
  • term perspective / vision with a strong focus on Quality.

  • Strong problem-solving skills and analytical aptitude.
  • Flexible and Adaptive to change.
  • Able to communicate well with technical and non-technical people.
  • Time management and prioritization.
  • You should be a good Team Player, able to switch and wear different role caps.
  • Nice to have -

  • Data Visualization experience.
  • You should have experience in Agile based execution and importantly an Agile mind-set.
  • Competencies : Tools / Tech Stack -

    Tools / Tech Stack -

    Big Data ecosystem : HDFS, Hive, Spark, Flume, Sqoop, Kafka, Oozie.

    NoSQL (at least one) : HBase / MongoDB / Cassandra / GraphDB / Redis / CouchDB / MemcacheDB or any other.

    Relational Database : MS SQL Server, Or any other RDBMS, Concepts and architecture.

    Programming Language : Java, Python / Scala.

    Cloud : Amazon S3, AWS stack (should be familiar with)

    Misc (at least one) : Druid, Tableau or any other visualisation tool.

    Experience and Qualification : 4 years, Engineering / Masters in relevant discipline.

    Relocation (Y / N) : Not a constraint.

    Expedia is committed to creating an inclusive work environment with a diverse workforce.All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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