Senior Data Architecture Specialist
2 weeks ago
Create scalable and efficient data architectures and pipelines to support various data use cases.
- Data Pipeline Development: Design, implement, and maintain data pipelines that ingest, transform, and store data from various sources (e.g., databases, APIs, logs, and external data feeds).
- Data Modeling: Develop and maintain data models, ensuring they are optimized for analytical and reporting needs. Use techniques such as dimensional modeling and data normalization.
- Data Governance: Implement and enforce data governance practices to ensure data accuracy, consistency, and security.
- Have strong knowledge of ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica).
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is preferred.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
- Minimum of 5 years of experience in data engineering or a similar role, with a proven track record of building and managing complex data systems.
- Experience with data warehousing tools like Snowflake, Databricks.
Estimated Salary: $120,000 - $180,000 per year
About San HireWe are a company that values innovation and excellence in data engineering. Our team is passionate about building scalable and efficient data architectures and pipelines to support various data use cases.
Benefits- Competitive salary range
- Opportunities for professional growth and development
- A collaborative and dynamic work environment
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