
Data Engineering Expert
2 days ago
Unlock Your Data Potential
About This RoleWe are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing and developing scalable data pipelines that efficiently process and transform large volumes of data.
Responsibilities:
Develop efficient data processing workflows using Spark to ensure seamless data transformation and aggregation.
Create robust and scalable frameworks for generating PDF reports using Python and Spark.
Utilize Snowflake SQL to perform complex aggregations on high-volume datasets.
Design and implement data storage solutions using Azure Databricks and Datalake.
Develop APIs using Flask to support front-end applications.
Collaborate with stakeholders to understand reporting requirements and maintain existing reporting pipelines.
To be successful in this role, you will need:
Proven experience as a Data Engineer with expertise in 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 including Data Factory, Databricks, and Datalake.
Excellent communication and collaboration skills.
Benefits of Working with Us
We offer a dynamic work environment, opportunities for growth and development, and a competitive salary package.
How to Apply
If you are passionate about data engineering and have the skills and experience required for this role, please submit your application.
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