As a technical Data Engineer, you will be required to develop and oversee the landing of 3rd party data, support with data governance tooling and work with the data engineering team on solutioning for data quality rules and requirements. We will fuel your curiosity with challenging work, hard-working colleagues, and creative learning resources. At every level, we champion leaders who influence and achieve results. By prioritizing people development, we incubate talent and thought leadership, which we can then apply across our businesses.

• Design, develop and implement sustainable data engineering solutions.
• Drive excellence in data engineering processes for intelligent data solutions across data ingestions, data pipeline frameworks, data warehouse and data lake architectures using cloud platforms.
• Promote strong working relationships among the team and partners.
• Partner with data governance teams and platform teams to improve the tool implementations.
• Mentor and provide technical guidance to the team.
• Drive alignment to standard methodologies across the team.
• Promote simplification of processes and solutions to drive efficiency.

• Proven experience in software engineering, data engineering, or related fields.
• Hands-on experience in building data engineering solutions, data pipelines, designing data.
• Understanding of data governance principles or worked extensively on a data governance platform.
• Good understanding of data lifecycle management and design patterns.
• Able to write code in python and scripts in SQL.
• Hands-on experience working in a cloud first environment.
• Be familiar with agile methodologies.
• Understanding of CI/CD principles and experience of deploying data pipelines/software in production environments.
• Good communication skills, and experience working with multiple partners/teams.
• Hands-on experience working on Google Cloud Platform services, and familiar with data governance tools such as Informatica, Collibra etc is nice to have.