Data Engineer/MLOpsRole: Data Engineer • Minimum 5 years of work experience in building data pipelines using Python, PySpark, Django. • Hands-on experience in working with Python and related packages (like NumPy, pandas etc.) to load and scrap the data. • Hands-on experience with at least one of the tools in the Hadoop ecosystem (HDFS, AWS Glue, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka).
• Working experience on relational/non-relational databases and familiarity with data model concepts • Working exposure in blending as part of larger scrum team and understanding of related scrum ceremonies • Working knowledge of Unix/Linux. • Knowledge of cloud platforms (e.g., AWS, Azure, GCP)