Data Engineer optimizing data services for a marketing and CRM tech company. Transforming client data into competitive advantages through reliable data flows.
Responsibilities
You will be the technical force behind the data services we deliver to our clients.
Transform each client's data into a competitive advantage.
Architect the Data Services Platform.
Build and maintain the data pipelines that are at the heart of our services.
Ensure the highest quality and reliability of the data our clients consume.
Actively collaborate with internal client-facing teams to deeply understand their business needs.
Requirements
Proficiency in Python and SQL for data manipulation and automation (real-time and batch).
Hands-on experience with workflow orchestration tools such as Apache Airflow or similar.
Solid knowledge of at least one major cloud platform (AWS, Google Cloud, or Azure) and its data services.
Experience with Snowflake and Databricks.
Experience with CI/CD pipelines applied to data (Continuous Integration and Continuous Delivery).
Ability to analyze complex problems, identify root causes, and propose efficient, sustainable solutions.
Strong communication skills to liaise clearly with technical and business teams, acting as a bridge between areas.
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