Save time and effort sourcing top tech talent
hackajob is partnering with Integral Ad Science to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
What you'll get to do:
Work on Big Data technologies such as Hadoop, MapReduce, Kafka, Spark and MPP columnar databases
Design, code and maintain components aggregating tens of billions of daily transactions
Lead the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for streaming, batch ETL and RESTful API's
Mentor junior team members
You should apply if you have most of this:
5+ years of recent hands-on Java experience
Regular use of collections, multi-threading, JVM memory model, etc.
Great understanding of designing for performance, scalability, and reliability
In-depth understanding of algorithms, scalability and various tradeoffs in a Big Data setting
Proficiency with object oriented programming concepts
Experience with Hadoop MapReduce, Spark, Pig
Interpersonal and communication skills
Bonus points:
Good knowledge of Linux command line tools
Solid understanding of database fundamentals, good knowledge of SQL
Exposure to messaging frameworks like Kafka or RabbitMQ
Experience with Spark streaming or Flink
Experience with AWS big data technologies (s3, emr, glue, etc)
If you are a solid backend Java developer looking to leap into and learn Big Data, we will consider you!
hackajob is partnering with Integral Ad Science to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.