
Building Scalable Data Pipelines
10 hours ago
As a data engineer, you will play a crucial role in building and optimizing data pipelines, ensuring data is clean, secure, and accessible for analytics and operations.
Key Responsibilities:
- Design and create scalable data pipelines and architectures.
- Work with Azure Cloud, SQL Server, ClickHouse, and MongoDB for data modeling, ETL, and database management.
- Build automation using Python.
- Use Azure Data Factory and Databricks for data integration and analytics.
- Translate business needs into data-driven insights and visualizations.
Requirements:
- Strong skills in data pipeline design and optimization.
- Hands-on expertise with Azure Data Factory and Databricks.
- Proven experience in creating client-ready dashboards.
- Ability to work with distributed systems.
What's in it for you:
- Opportunity to tackle complex challenges daily.
- Continuous growth and expansion of expertise.
About This Role:
This is an exciting opportunity for talented professionals who can contribute to our mission of delivering innovative solutions. If you have a passion for data engineering and a strong desire to learn and grow, we encourage you to apply.
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