Senior Data Engineer I

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Senior Data Engineer I

As a Senior Data Engineer I, you will be responsible for helping to create a data infrastructure that is secure, scalable, well-connected, and thoughtfully architected. You will also build deep domain knowledge of our business. This team manages complex data flows across teams, data centers, and organizational boundaries worldwide. The data is crucial for storytelling for AIS colleagues and customers, and must be curated through reliable and cost-effective approaches.

Responsibilities:

• Build and maintain a robust, modern data orchestration and transformation architecture supporting batch and streaming processes.
• Ensure reliable delivery of clean, accurate data for analytical platforms and sharing services.
• Contribute to the development and enforcement of technical and coding standards to mature SDLC practices.
• Collaborate with DevOps to automate deployments and implement Infrastructure as Code (IaC) for consistent environments across regions.
• Develop modular components and reusable frameworks, establishing common patterns for contribution and deployment.
• Document and promote best practices, establishing guidelines with stakeholders and sharing knowledge across teams.
• Drive operational efficiency, reliability, and scalability through improvements in logging, monitoring, and observability.
• Support platform evolution and data governance by identifying gaps, implementing tooling and processes, and promoting DataOps through leadership and feedback initiatives.

Requirements:

• Experience deploying and governing modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale.
• Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures.
• Demonstrate understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps, and DevOps processes.
• Participate actively in Agile delivery, including ceremonies and requirements refinement, fostering iterative improvement.
• Build well-researched proposals and drive adoption of new data platform technologies.
• Design technical solutions, producing architecture and infrastructure documentation for scalable and secure data platforms.
• Exhibit expertise in AWS data and analytics services, with experience in cloud solutions and cost optimization.
• Ensure compliance with data management, privacy, and security practices, collaborating across teams and adapting to changing priorities.

Work in a way that works for you

We promote a healthy work/life balance. With an average service length of 9 years, we offer an appealing working environment. We support your immediate responsibilities and long-term goals through wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.

Work remotely or in our office with a flexible hybrid model.

Enjoy flexible hours to work when you're most productive.

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