Fractal is Hiring Big Data Engineer | fractal is hiring big data engineer at the bangalore location. Fractal Analytics

Company Name: Fractal

Role: Big Data Engineer

Location: Bangalore, India

Experience: 1 to 4 Years

Education: B.E/B.Tech in Computer Science or Related Field

Official Website: www.fractal.ai

Job Type: Full Time

Fractal Analytics

Responsibilities at Fractal:

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.

1 to 4 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, C++ or Python (preferred). Scala knowledge 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 common 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 great problem-solving skills, and the ability & confidence to hack their way out of tight corners.