Kloud9 - Data Engineer - ETL/Data Warehousing

Kloud9

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Job Description

Role Name : Data Engineer / ETL & DWH Engineer

Role Overview

The Data Engineer or ETL & DWH Engineer is responsible for the full lifecycle development and implementation of end-to-end data pipelines and build of Snowflake data warehouse to support business and analytics' needs.

Key Responsibilities

Provide day-to-day oversight and technical guidance to team of Data Engineers.
Design and implement scalable data pipelines using Azure Data Factory
Develop and optimize complex SQL queries for data extraction and transformation
Build and maintain Snowflake data warehouse environment
Create and refine relational data models to support business intelligence and analytics
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Establish best practices for data engineering processes and documentation
Ensure data quality, security, and compliance across all data engineering initiatives
Stay current with emerging technologies and industry trends in data engineering

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, or related field
3-15 years of experience in data engineering roles
Strong expertise in SQL, including complex query optimization
Extensive experience with Snowflake, including architecture and performance tuning
Proficiency in Azure Data Factory for building and managing ETL/ELT pipelines
In-depth knowledge of relational data modeling techniques
Ability to manage workload and self-drive to accomplish goals
Excellent problem-solving and analytical skills
Strong communication skills and ability to work with both technical and non-technical stakeholders

Preferred Qualifications