5-8 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, SQLPySparkDBT and Apache AirflowDevOps, Jenkins, CI/CDData Governance and Data Quality frameworks
Data Lakes, Data WarehouseAWS services including S3, SNS, SQS, Lambda, EMR, Glue, Athena, EC2, VPC etc
Source code control - GitHub, VSTS etc
Mandatory Competencies
ETL - ETL - Data Stage
Big Data - Big Data - Pyspark
Database - PostgreSQL - PostgreSQL
Programming Language - Python - Apache Airflow
Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift
Database - Database Programming - SQL
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time