This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern-cloud, data-oriented environment.
Implement robust, reliable, and scalable data pipelines and data architecture.
Own and develop DWH (petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailor-made solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on high-scale, real-time, real-world, business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.
3+ years experience as a Data Engineer.
Good working knowledge of Google Cloud Platform (GCP).
Experience using AI-assisted tools or automation to improve data development, monitoring, or debugging workflows.
Strong experience in SQL and Python.
Experience with high-volume ETL/ELT tools and methodologies – both batch and real-time processing.
Understanding of how to build robust and reliable solutions.
The ability to understand the business impact of the data engineering tasks.
Hands-on experience in writing complex queries and optimizing them for performance.
Able to understand complex data and data flows.
A strong analytical mind with proven problem-solving abilities.
Ability to manage multiple tasks and drive them to completion.
Independent and proactive.
