Sr Data Engineer [Kamino Retail] bei Equativ

We are looking for a thoughtful, well-rounded Data Engineer to join our engineering team and help build the next generation of Retail Media monetization platform.You'll be a privileged interlocutor to our Product team supporting them and building the best architecture to streamline all of our data flows. You will join a team that includes a data scientist and frequently collaborate with a data analyst from our OPS team.We encourage anyone who is passionate about building scalable data architectures to apply.

What you'll do

Create and maintain optimal data pipeline architecture

Ensure reliability and scalability of our data infrastructure while participating in continuous improvement of our processes and tools.

Implement and maintain data quality standards, monitoring, and alerting systems. Ensure data pipeline reliability and establish best practices for data consistency across our platform.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'Big Data' technologies

Work with stakeholders to assist with data-related technical issues and support data infrastructure needs

Who you are

You have 5+ years of experience as a Data Engineer designing, developing and optimizing strong and flexible data pipelines, architectures and data management strategies.

You have a focus on high-volume data processing (in advertising, streaming, banking, etc)

You have working knowledge of message queuing, stream processing, and highly scalable 'Big Data' data stores.

You have advanced SQL knowledge and experience working with relational databases as well as working familiarity with a variety of databases.

You have a great ability to learn, and you are eager to expand your areas of expertise.

You have a strong quality mindset and care for the overall performance of the product.

Familiarity with Kubernetes and dbt preferred.

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