Data Engineer LeadRole & responsibilities
8-10 years in Data Engineering, software development such as ELT/ETL, Data extraction and manipulation in Data Lake/Data Warehouse environment Expert level Hands to the following:
Python, SQL
PySpark
DBT and Apache Airflow
DevOps, Jenkins, CI/CD
Data Governance and Data Quality frameworks
Data Lakes, Data Warehouse
AWS services including S3, SNS, SQS, Lambda, EMR, Glue, Athena, EC2, VPC etc.
Source code control - GitHub, VSTS etc.

Keyskills: Pyspark AWS Data Engineering Amazon Redshift Spark Aws Glue ETL SQL Python