Engineer, Big Data & Hadoop @ Fractal Analytics

Responsibilities:

• 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, analyzing and visualizing large sets of data to turn information into business insights

• 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.

Qualifications Experience:

2 to 6 years of demonstrable experience designing technological solutions to complex data problems, developing testing modular, reusable, efficient and scalable code to implement those solutions.

• Expert-level proficiency in at least one of Java, C++ or Python (preferred). Scala knowledge is a strong advantage.

• Strong understanding and experience in distributed computing frameworks, particularly Apache Hadoop (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/Azure ML)

• Experience working within a Linux computing environment, and use of command-line tools, including knowledge of shell/Python scripting for automating everyday tasks

• Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works

In addition, the ideal candidate would have excellent problem-solving skills and the ability confidence to hack their way out of tight corners.

Education:

B.E/B.Tech in Computer Science or related technical degree