RESPONSIBILITIES:
Our Big Data capability team needs hands-on developers who can produce beautiful & functional code to solve complex analytics problems. If you are an exceptional developer with an aptitude to learn and implement using new technologies, and who loves to push the boundaries to solve complex business problems innovatively, then we would like to talk with you.
You would be responsible for evaluating, developing, maintaining and testing big data solutions for advanced analytics projects
The role would involve big data pre-processing & reporting workflows including collecting, parsing, managing, analysing and visualizing large sets of data to turn information into business insights
Team handling, problem solving, project management and communication skills & creative thinking
The role would also involve testing various machine learning models on Big Data, and deploying learned models for ongoing scoring and prediction. An appreciation of the mechanics of complex machine learning algorithms would be a strong advantage

REQUIRED QUALIFICATIONS:
6 to 12 years of demonstrable experience designing technological solutions to complex data problems, developing & testing modular, reusable, efficient and scalable code to implement those solutions
Ideally, this would include work on the following technologies:
Expert-level proficiency in at-least one of Java, Python (preferred). Scala , pySpark, Spark-scala knowledge a strong advantage
Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies -- one or more of Hive, Sqoop, Avro, Flume, Oozie, Zookeeper, etc.
Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage
Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services and the AWS CLI)
Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks
Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works
Linux environment and shell scripting

PREFERRED QUALIFICATIONS:
Statistical or machine learning DSL like R
Distributed and low latency (streaming) application architecture
Row store distributed DBMSs such as Cassandra
Familiarity with API design