|Job Title:||Data Engineer|
|Salary:||US$90000.00 - US$115000.00 per annum|
|Contact Name:||Adam Butler|
|Job Published:||May 29, 2018 15:10|
Are you looking for an interesting opportunity to leverage big data technology within some of the coolest fintech brands in the US? The perfect person for this role is an inquisitive data engineer with experience of Hadoop, Spark, Scala and Hive who will be a key contributor and problem solver. You will be hands-on with the desire to code on a daily basis and contribute to key engineering initiatives.
Who will I be working for?
This is a chance to work for one of the largest IT consultancies in the world. In this position you will initially join to work on a long term engagment with an exciting fintech firm based in Cincinnati. Once this engagement is complete you will have the opportunity to progress down many pathways the company offers and be given the choice of numerous engagements throughout the at some of the largest banks in the US.
What will I be doing?
You will be developing scalable Spark applications using the latest Spark constructs and Scala language to handle high volume data. You should be an excellent communicator and be confident presenting technical details to colleagues ranging from junior engineers to senior-level management.
In particular you can expect to be involved with the following:
Using performance optimization techniques to improve the Spark application performance
Debug Spark applications
Develop Sqoop based framework for moving data into Hadoop
Create shell scripts and create unit test cases and executions.
What do I need?
Bachelor's or Master's degree in Computer Science, Engineering, or related technical disciplines
Advanced expertise in programming with Scala
Highly experienced in Big Data technologies (Spark and Hadoop)
Other Hadoop skills such as Sqoop, Cloudera, Pig, MapReduce and Impala
Experience of ETL tools such as Informatica
To be considered for this position please click 'apply now' on this page. if you would like more information please email email@example.com
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