Our Mission
We strive to create a collaborative environment that fosters growth and well-being.
Key Responsibilities:
1. Data Pipeline Development
2. Design scalable data architectures using Azure technologies, including Data Lake Storage (ADLS) for efficient data ingestion, transformation, and storage.
3. Evaluate solutions in Azure Databricks with PySpark for analytics-driven insights.
The chosen candidate will play a key role in developing innovative analytics solutions. A successful candidate should be able to design data pipelines from the ground up utilizing Azure's powerful technology stack.
Pivotal skills include hands-on experience working with large-scale datasets combined with proficiency in development environments such as Python and Jupyter Notebooks.
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