Data Warehouse Engineer

Company Overview

Company information is not specified.

Job Summary

The Data Warehouse Engineer will play a pivotal role in designing, developing, and maintaining data pipelines, ensuring that data is effectively processed and managed. This position aims to enhance data accessibility and quality within the organization, contributing to informed decision-making.

Responsibilities

• Design and implement scalable data pipelines using Snowflake, DBT, and Matillion.
• Develop and maintain SQL queries for data extraction, transformation, and loading (ETL) processes.
• Utilize Azure DevOps, including Repos and Pipelines, for version control and continuous integration/continuous deployment (CI/CD).
• Schedule and monitor pipeline execution using Control-M.
• Collaborate with stakeholders to understand data requirements and ensure data quality.
• Troubleshoot and optimize data processing workflows to improve performance.

Qualifications

• 5 years of experience in Data Engineering projects.
• Proficient in SQL for database management and data manipulation.
• Hands-on experience with Snowflake, DBT, and Matillion.
• Familiarity with Azure DevOps for version control and CI/CD processes.
• Good understanding of Python (preferred but not mandatory).
• Strong expertise in developing and optimizing data pipelines.
• Ability to troubleshoot complex data issues and provide effective solutions.

Preferred Skills

• Understanding of data warehousing concepts and best practices.
• Experience with cloud-based data solutions.
• Knowledge of data governance and data quality frameworks.

Experience

• Minimum of 5 years of relevant experience in Data Engineering and working with data warehousing technologies.

Environment

Typical work setting and location are not specified.

Salary

Salary information is not specified.

Growth Opportunities

Opportunities for career advancement are not specified.

Benefits

Benefits information is not specified.