Description

* 4-5 years’ experience working in Data Engineering and Data Warehousing.

* Must have hands On with advanced SQL and Python programming (SQL conversion to Python)

* Hands On in data profiling

* Hands On in working on Cloud like Azure and Cloud DW like Databricks

* Hands On experience on Scheduling tools like Airflow, Control M etc.

* Knowledgeable on Big Data tools like Spark (python/scala), Hive, Impala, Hue and storage (e.g. HDFS, HBase)

* Knowledgeable in CICD processes – BitBucket/GitHub, Jenkins, Nexus etc.

* Knowledgeable managing structured and unstructured data types.