3+ (4+ for ATL) years of demonstrated professional IT working knowledge and experience in the industry.
In-depth knowledge on Big Data and Data Science Engineering stack related technologies including but not limited to, Spark, Hive, MapReduce, Scalding, HDFS, HBase and Ingestion tools.
Solid knowledge about statistical models, machine learning and deep learning algorithms, open source and commercial data science tools and software.
Cloud Big Data and Data Science Engineering stack related technologies in Google Cloud Platform or equivalent cloud platform will be beneficial.
Ability to translate data/analytics requirements to data related technical designs.
Prior experience in analyzing data from various sources and design algorithms and tools that facilitate the extraction of meaningful insights including but not limited to recommender systems, revenue predictions, customer segmentation and optimum resource utilization will be beneficial.
Knowledge and experience in tasks including but not limited to data wrangling, data visualization, and communication, data intuition, feature engineering, model building, ensemble methods etc.