
Leading Data Engineering Professional
5 days ago
We are looking for a skilled Data Engineer to create efficient data pipelines and ETL processes, with expertise in Python and proficiency in SQL, Snowflake, and Spark.
The role involves developing scalable pipelines to efficiently process and transform data using Spark, designing and developing a robust framework for generating PDF reports using Python and Spark, and leveraging Azure Databricks and Datalake for data processing and storage.
Collaboration with Architects and Business stakeholders is essential to understand reporting requirements and maintain existing reporting pipelines and infrastructure.
Key Responsibilities:
- Design and develop scalable pipelines to efficiently process and transform data using Spark
- Develop a robust framework for generating PDF reports using Python and Spark
- Leverage Azure Databricks and Datalake for data processing and storage
- Develop APIs using Python's Flask framework to support front-end applications
- Maintain and improve existing reporting pipelines and infrastructure
Qualifications:
- Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes
- Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy
- Experience with SQL, Snowflake, and Spark for data querying and aggregations
- Familiarity with Azure cloud services such as Data Factory, Databricks, and Datalake
- Experience developing APIs using frameworks like Flask is a plus
Why Work With Us?
- Accelerated career growth and global exposure
- Collaborative, inclusive work environment rooted in innovation
- Exposure to best-in-class automation framework
- Innovation-first culture: We embrace automation, AI insights, and clean data
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