Data Engineer

Its fun to work in a company where people truly BELIEVE in what they are doing!

Were committed to bringing passion and customer focus to the business.

The BigData Engineers have expertise in building horizontally scalable applications using distributed technologies like NoSQL Dbs/Hadoop/Spark and others and we execute projects on-premise and cloud based systems. The AI-Engineers and MLOps Engineers work on scaling AI-systems and in building end-to-end productionized MLOps pipelines.

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, 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:

• 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 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

If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

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