Description

You will design and implement enterprise data warehousing solutions and data integration processes.

Responsibilities

• Develop and maintain Data Lakes and Data Warehouses using ETL frameworks and design patterns.
• Implement slowly changing dimensions and metadata-driven integration processes.
• Build supportable data integration processes utilizing templates and proven design patterns.
• Execute technical solutions within an Agile environment based on specified plans and tickets.
• Document technical issues and resolutions for both technical and non-technical stakeholders.

Required Skills

• 8+ years of experience in data engineering or related technical roles.
• Expertise in SQL Server (versions 2016 and 2019).
• Proficiency with SSIS (versions 2015 and 2019).
• Experience with Python and Azure Data Factory.
• Hands-on experience with AWS or GCP cloud environments.
• Strong Enterprise Data Warehousing skills and methodology knowledge.
• Experience with ELT software and cloud-based technologies.
• Ability to work effectively in an Agile environment.
• Bachelor’s degree in Computer Science or equivalent work experience.

Preferred Skills

• 4-6 years of experience specifically with AWS or Azure.
• Strong automation, programming, and scripting skills.
• Exposure to data streaming, ESB, and pub/sub models.

Key Skills

Education

Any Graduate