Qualification: B.Tech/B.E in any Specialization
Experience: 9+ years of experience in building personalization and recommendation systems.
Skills: Extensive experience with Apache Spark, including Mllib, ML pipelines APIs and Spark Streaming.
- Built large-scale predictive models on Spark.
- Good statistics fundamentals and data analysis skills. Do quick analyses, visualization and prototyping with Python/R.
- Experience with tools like Tableau and Splunk will be a plus.
- Experience with A/B testing systems in designing the experiments and analyzing the results.
- Good understanding of various platforms, tools, and architectural best practices in the areas of scalable web services and cloud computing, including various components in the Apache Hadoop framework.
- Strong understanding of modern data systems for storing and processing large volumes of data including various RDBMS/ NewSQL, NOSQL and document indexing solutions.
- Cluster computing systems such as Hadoop MapReduce and Spark, know the programming interfaces and performance tuning of these very well.
- Software systems; coding and deployed production code in Java or Scala.