Role Brief:

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 robust advantage.

Qualification & Experience

4 to 8 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, Impala, Kudu, etc.
- Hands-on experience with Apache Spark and its components (Streaming, SQL, Core, RDD, MLLib) is a strong advantage.
- Operating knowledge of cloud computing platforms (AWS/Azure Client/GCP)
- 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

📌 Senior Engineer: Big Data (India)
🏢 InterSources
📍 India