
Cloud Data Engineer Role
11 hours ago
This role focuses on utilizing expertise to create scalable data pipelines for the efficient processing of transformed data using Spark.
As a member of our team, you will design and develop a robust framework for generating PDF reports using Python Spark. Your work will significantly contribute to building a seamless experience across channels and digital touchpoints.
The ideal candidate should have proven experience as a data engineer with a strong understanding of data pipelines and ETL processes. Proficiency in Python, particularly with data manipulation libraries like Pandas and Numpy, is highly valued.
Experience with SQL Snowflake Spark for data querying and aggregations, familiarity with Azure cloud services such as Data Factory Databricks and Datalake, and expertise in developing APIs using frameworks like Flask are highly desirable skills.
Key responsibilities include:
- Designing and implementing scalable data pipelines
- Developing robust frameworks for report generation
- Collaborating with cross-functional teams to achieve business objectives
We offer a dynamic work environment that fosters growth, innovation, and collaboration. If you're passionate about leveraging data engineering principles to drive business success, we encourage you to apply.
Benefits include:
- Opportunities for professional development and growth
- A collaborative and inclusive work environment
- Competitive compensation and benefits packages
Join us in shaping the future of data-driven decision making.
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