1) Skills in Big Data Technologies like Hadoop, Pig, Hive, Hbase, Spark
2) Skills in Container technology such as Docker
3) Programing skills using Spark, PySpark, H2O, Dask, etc.
4) Deep knowledge and extensive experience with SQL, and NoSQL
5) Python and SQL (Ideal candidate will also have experience with R, Scala)
6) General understanding of machine learning and deep learning.
7) Excellent understanding of data analytics architecture & infrastructure.
8) History of providing a support capability to data scientists and strong abilities with data manipulation and preparation.
9) Extensive experience building data pipeline for data preparation. 10) Knowledge of deep learning framework installation and GPU configuration.
11) Experience with machine learning & deep learning model deployment.