Data Engineer-F2F Interview

Mandatory - Spark SQL, Spark (Pyspark),AWS Databricks, Python, ETL, Datawarehouse

Shell scripting, Tableau, AWS

" Mandatory strong experience on AWS / Azure Databricks, SQL, Spark (Pyspark),Python, ETL, Datawarehouse

Knowledge of ETL concepts, Data Ingestion and Shell Dos, Bash scripting is good to have

Pre-processing of data using Python and PySpark

Knowledge of building ETL processing pipelien using AWS / Azure Databricks will be an added advantage

Proven ability to build complex queries and doing data analysis

Create salable and high-performance data processing and ETL pipelines.

Work in a fast-paced, creative atmosphere to develop new ideas that adapt to evolving user needs

Strong visual and verbal communication skills

Exposure to any cloud platform - AWS or Azure will be an added advantage"