Big Data Engineer/Developer

python, Hadoop, Scala, Spark
Contract Corp-To-Corp
$80 - $90
Work from home not available Travel not required

Job Description


Big Data Engineer/Developer


We are searching for a Big Data Engineer/Developer to add to our team on our project at a major investment bank. Open positions in both NYC and Raleigh NC. We are open to contractors as well as W2 employee's.




As a Data Engineer with airisDATA you will be tasked with contributing to the solving of real world business problems. The ideal candidate will have the drive and passion to maintain current with the cutting edge of technology, able to quickly learn, demonstrate subject matter expertise in active vertical projects and participate in product development sessions.


sing and databases with a high proficiency in the Hadoop ecosystem, and the Spark data stack.


Responsibilities



  • Hands-on expertise with various big data technologies

  • Measure the performance of data solutions, diagnose bottlenecks and utilize tools to monitor and tune performance

  • Deploy flexible, scalable, and resilient data solutions to meet evolving client data product requirements

  • Troubleshoot, tune and accelerate data pipelines, data queries, and real time streaming events


Requirements:


Our ideal candidate will have strong programming skills and background in Python or Java (or Scala). In addition the candidate will have experience with Spark.


Experience with SQL is also required.


Experience with Impala query tools or Kafka are a plus.


About airisDATA


airisDATA is a niche system integration company focused exclusively on data science and data engineering services. We take pride in our technical excellence backed by a passionate team of data engineers, machine learning specialists, and data administrators who build, run, and deploy large scale data solutions. We are committed to solving real world problems, providing customers with a competitive edge, reduced total cost of ownership, and a high return on investment.


Dice Id : 10113363
Position Id : 662165
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