Tech stack:

• Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, etc.)

• BI/ETL Tools & Big Data Technologies

• Relational Databases (SQL) & NoSQL/Big Data storage

• Data Vault 2.0, Data Mesh, Data Fabric

Requirements:

• 5+ years of hands-on experience building complex, production-grade data solutions.

• 3+ years of dedicated experience within the Google Cloud Platform ecosystem.

• Proven track record with BI/ETL and Big Data technologies.

• Strong understanding of relational database design and big data architectural patterns.

• Experience with real-time data processing and sophisticated data warehousing aggregation.

• Deep understanding of Data Fabric, Data Mesh, and Data Vault methodologies.

• Ability to lead technical discussions and explain complex architectural choices to stakeholders.

Project description:

We are looking for a Senior Data Engineer to join our team and lead the design and implementation of high-performance, scalable data architectures. You will be a key player in shaping our data ecosystem, leveraging the full power of Google Cloud Platform (GCP) to solve complex business challenges.

Main responsibilities:

• Design and develop end-to-end, complex data solutions and ETL/ELT pipelines.

• Utilize GCP services to manage big data workloads and real-time processing.

• Implement data warehousing aggregations and real-time streaming solutions.

• Facilitate design discussions, document architectural decisions, and ensure best practices across the data lifecycle.

• Apply Data Vault, Data Mesh, and Data Fabric principles to create a future-proof data environment.