
Chief Data Architect
6 hours ago
We are seeking a seasoned Data Engineer to develop and maintain scalable data pipelines, generate reports using Python Spark, and leverage Snowflake features to process high volumes of data.
You will collaborate with architects and business stakeholders to understand reporting requirements, improve existing reporting pipelines, and develop APIs using Python's Flask framework to support front-end applications.
Mandatory skills include proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy, and familiarity with Azure cloud services including Data Factory, Databricks, and Datalake.
- Design and Develop scalable data pipelines leveraging Azure cloud services.
- Generate Reports using Python Spark and visualize data insights.
- Implement ETL Processes utilizing Snowflake features and Azure cloud services.
A collaborative, inclusive work environment rooted in innovation, accelerated career growth and global exposure, and the opportunity to work on best-in-class automation frameworks.
Requirements:- Proven experience as a Data Engineer.
- Strong understanding of data pipelines and ETL processes.
- Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy.
- Familiarity with Azure cloud services including Data Factory, Databricks, and Datalake.
- Excellent communication and collaboration skills.
Experience with Python's Flask framework, Azure Service Bus, and Azure Event Hubs is preferred but not required.
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Chief Data Governance Specialist
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