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Data Engineering Expert
1 week ago
At VML, we're a beacon of innovation and growth in an ever-evolving world. Our heritage combines a century of expertise where creativity meets technology and diverse perspectives ignite inspiration. We've forged a new path as a growth partner blending creative agency consultancy and technology powerhouses.
Our global family encompasses over 30,000 employees across 150+ offices in 64 markets each contributing to a culture valuing connection belonging and the power of differences. Our expertise spans the customer journey offering deep insights in communications commerce consultancy CRM CX data production and technology.
About This RoleYou'll provide expertise building and maintaining scalable data pipelines ETL processes and data infrastructure.
Day-to-day tasks include:
- Implementing robust scalable data pipelines using Apache Spark Python and Argo Workflows for efficient large-volume data processing
- Supporting and enhancing workflow automation using Kubernetes-native tools ensuring reliable execution of data processing tasks
- Collaborating with stakeholders to understand data requirements and implement suitable solutions
- Contributing to automated testing strategies for data pipelines and maintaining code quality standards
- Monitoring data pipeline performance and assisting in troubleshooting optimization
- Experience with Python in a data engineering role
- Experience with Apache Spark and familiarity with workflow orchestration tools like Argo Workflows
- Working knowledge of data warehousing concepts and cloud platforms AWS/GCP
- Experience with version control systems Git and CI/CD practices
- Ability to work collaboratively in cross-functional teams
We foster an all-inclusive work environment that's rewarding and career-forward. Our Inclusion Equity & Belonging initiatives alongside the VML Foundation reflect our dedication to giving back and making a positive impact in our communities and beyond.
