
Data Engineer Specialist
6 days ago
We are seeking a highly skilled and collaborative Data Architect to design, develop and govern our data architecture and pipelines.
Job DescriptionThe successful candidate will have extensive experience in designing scalable and robust data architectures for data warehousing and enterprise data platforms. They will be responsible for developing and optimizing data pipelines and ETL/ELT/CDC workflows using tools such as Fivetran and Cloud Composer.
- Data Architecture Design:
- Develop and implement scalable and robust data architectures for data warehousing and enterprise data platforms.
- Data Pipelines and Workflows:
- Develop and optimize data pipelines and ETL/ELT/CDC workflows using tools such as Fivetran and Cloud Composer.
- Collaboration:
- Collaborate with data scientists, product managers and business stakeholders to define data requirements and create logical and physical data models.
- Database Management:
- Manage and administer various database systems, including BigQuery, SAP HANA and PostgreSQL.
- Data Quality and Integrity:
- Ensure data quality, integrity and security across all data platforms and pipelines.
- Ai/Ml Integration:
- Work with AI/ML teams to design data serving layers and feature stores that support Vertex AI workloads.
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science or a related field.
- Proficiency in one or more backend languages/frameworks, with a strong preference for Python or Go.
- Experience with building RESTful APIs and designing microservices for data delivery.
- Solid grasp of data modeling fundamentals, including Kimball and Inmon methodologies.
- Proficiency in writing complex SQL queries and experience with SQL and NoSQL databases.
- Familiarity with data warehousing concepts and best practices, including CDC.
- Strong version-control habits and experience with CI/CD pipelines.
- Excellent problem-solving, communication and collaboration skills.
- Hands-on experience designing and deploying production-grade data warehouses.
- Deep experience with Google Cloud Platform (GCP) and its data services.
- BigQuery for large-scale analytical workloads.
- Cloud Composer for orchestrating complex data pipelines.
- Vertex AI for AI/ML model serving and feature stores.
- Experience with other cloud providers and their data services.
- Working knowledge of data governance frameworks, master data management and data cataloging tools.
- Experience with data ingestion tools like Fivetran.
- Business-intelligence expertise in building dashboards and reports.
- Familiarity with other data technologies such as SAP HANA.
- Understanding of MLOps concepts and their application to data pipelines.
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