
Senior Data Pipeline Specialist
1 week ago
Job Overview:
The role of a Data Pipeline Architect involves designing and implementing scalable data solutions using Python and GCP services. This full-time position requires an experienced professional to lead the development and deployment of reliable datasets and insights.
Key Responsibilities:
- Data Solution Design: Develop scalable data solutions using Python and GCP services to integrate diverse data sources.
- Data Model Implementation: Implement and optimize data models following data warehousing concepts such as Star Schema, Snowflake Schema, and Slowly Changing Dimensions.
- Collaboration: Collaborate with data analysts, data scientists, and business stakeholders to ensure data quality and performance.
- Automation Scripts: Develop automation scripts and document data workflows, processes, and standards.
Qualifications:
- Experience: 3-5 years of hands-on experience as a Data Engineer or similar role.
- SQL Proficiency: Strong proficiency in SQL including query optimization, stored procedures, and performance tuning.
- ETL Development: Solid experience with ETL development using Informatica and strong knowledge of data warehousing concepts.
- GCP Services: Practical experience working with GCP services, especially BigQuery.
- Data Governance: Understanding of data governance, data quality, and performance best practices.
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