Understanding of Data Modelling concepts
High proficiency with SQL, relational, non-relational databases
Proficiency with Python and some familiarity with python ML frameworks and libraries (xgboost, PyTorch, Sklearn, ScipyScikit etc.)
Experience working with data engineering tools such as Spark, AWS Glue, Databricks, GCP Data Flow, Airflow etc.
Experience in developing efficient data pipelines for complex data requirements involving several millions of data
Experience working with non structured data and efficiently processing the same
Experience working with data visualization tools such as Power BI, Tableau etc.
More than 5 years of data engineering experience along with excellent analytical, problem solving and presentation skills
Proven experience in integrating AI with enterprise software solutions in a good plus