
Data Engineering Specialist
2 days ago
About the role of a Data Engineer
As a seasoned Data Engineer, you'll have the opportunity to work on complex projects and enhance your skills in data engineering.
Key Responsibilities:
- Develop scalable pipelines to efficiently process transform data using Spark
- Design and develop a robust framework for generating PDF reports using Python Spark
- Utilize Snowflake Spark SQL to perform aggregations on high volumes of data
- Develop Stored Procedures Views Indexes Triggers and Functions in Snowflake Database to maintain data and share with downstream applications in form of APIs
- Leverage Azure Databricks and Datalake for data processing and storage
- Develop APIs using Python's Flask framework to support front-end applications
Required Skills and 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 Spark for data querying and aggregations
- Familiarity with Azure cloud services such as Data Factory Databricks and Datalake
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