
Data Pipeline Architect
3 days ago
We are seeking an experienced data engineer to play a key role in building and optimizing scalable data pipelines, ensuring data is clean, secure, and accessible for analytics and operations.
Key responsibilities include creating client-ready dashboards using Bold BI, Power BI, Superset, or similar business intelligence tools, designing and optimizing data architectures, developing data models, ETL processes, and database management systems with SQL Server, ClickHouse, and MongoDB, and building data integration and analytics solutions using Azure Data Factory and Databricks.
- Design and optimize data pipelines and architectures to ensure scalability and efficiency.
- Develop data models, ETL processes, and database management systems with SQL Server, ClickHouse, and MongoDB.
- Build data integration and analytics solutions using Azure Data Factory and Databricks.
Requirements
- 4+ years of experience in data engineering.
- Strong skills in Python for building data pipelines and automation.
- Familiarity with Git for version control and teamwork.
- Knowledge of APIs and REST APIs to connect with external data sources.
- Comfort with Linux commands, RegEx, and XML for data handling.
What We Offer
A dynamic work environment with opportunities for growth and development. A chance to work on a wide range of challenging projects and continuously expand your expertise.
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