Data Warehouse Engineer (SN0365)
Job Description
We are seeking a highly skilled Data Warehouse Engineer to design, develop, and maintain efficient and scalable data pipelines to support business intelligence (BI) and analytics.
- The ideal candidate will ensure data accuracy, integrity, and security, optimize ETL processes, and collaborate with the BI team to provide the necessary infrastructure for actionable insights.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines to support BI and analytics.
- Ensure data accuracy, integrity, and security across all systems.
- Optimize ETL processes to enhance speed and reliability.
- Collaborate with the BI team to provide infrastructure support for data-driven insights.
- Proactively evaluate and integrate new tools and technologies, focusing on scalability and innovation.
- Troubleshoot, debug, and resolve complex technical challenges in a fast-paced environment.
Required Skills & Qualifications
- 4+ years of experience in data engineering, data warehousing, or a similar role.
- Expertise in ETL processes, data pipelines, and managing large-scale data systems.
- SQL, Python, and microservice architectures.
- building OLAP databases and integrating them with BI tools
- data ingestion, database design, data warehousing
- Excellent problem-solving skills
Nice-to-Have Skills
- real-time data streaming platforms
- AWS-based data pipelines.
- Redash and Clickhouse.
- AI/ML workflows
- Docker and Kubernetes.
Hiring Team Member
