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Big Data Engineer

  • Location

    Amsterdam, North Holland

  • Sector:

    BI, Big Data & Analytics

  • Job type:

    Contract

  • Salary:

    €80 - €95 per hour + Negotiable

  • Contact:

    Harry Glover

  • Contact email:

    HarryG@montash.com

  • Salary high:

    95

  • Salary low:

    80

  • Job ref:

    BIDAEN#2018/04_1521740198

  • Published:

    29 days ago

  • Duration:

    12 Months

  • Expiry date:

    2018-03-29

  • Startdate:

    ASAP

Big Data Engineer - Freelance - Amsterdam

Montash are engaged with innovative client situated on the outskirts of Amsterdam, to secure a Big Data Engineer to join an already established Data Engineering/Science team.

The Role: Big Data Engineer

My client are​ ​transitioning​ ​from​ ​point​-to​-point​ ​data​ ​integrations​ ​and​ ​a​ ​classic​ ​data warehouse​ ​solution​ ​to​ ​a​ ​uniform​ ​data​-lake,​ ​allowing​ ​all​ ​downstream​ ​ETL processes​ ​to​ ​focus​ ​only​ ​on​ ​their​ ​domain​ ​specific​ ​transformations.

Skills and experience required for this Big Data Engineer position:

  • Extensive Python experience
  • Big Data: Apache Spark/Hadoop
  • ​Hands​ ​on​ ​experience​ ​with​ ​AWS​ ​services​: (​API​ ​Gateway, lambda​ ​functions,​ ​EMR,​ ​Redshift,​ ​ElasticSearch​ ​& ​DynamoDB)
  • NoSQL - MongoDB / Redis
  • Containerization: Docker

If you feel you have the above Big Data Engineering expertise and experience, please apply with your most recent CV.

With Brexit looming and tax benefits increasing for non-Dutch nationals, our Netherlands based Clients are finding an increase in applications from UK IT resources looking to further their international experience. Amsterdam is one of the hottest cities for IT development and more global organisations are opening development centres and/or nearshoring resources to this dominant location. Montash offer not just top tier requirements for IT resources but can also offer guidance through our partners on relocating and tax systems if you're considering a move but maybe unsure on the implications this has.

Key Words: Big Data Engineer / Data Science / Python / AWS / Spark / Hadoop / Docker / ETL / SQL / MongoDB