
Unlock Your Potential as a Data Expert
10 hours ago
As a Data Engineer, you will be at the forefront of our data-driven approach. We are seeking an experienced professional to join our team and contribute to the development of scalable pipelines that efficiently process transform data using Spark.
Key responsibilities include designing and developing a scalable and robust framework for generating PDF reports using Python Spark, and utilizing Snowflake Spark SQL to perform aggregations on high volumes of data.
You will also develop Stored Procedures Views Indexes Triggers and Functions in Snowflake Database to maintain data and share with downstream applications in the form of APIs.
In addition, you will leverage Azure Databricks and Datalake for data processing and storage, develop APIs using Python's Flask framework to support front-end applications, and collaborate with Architects and Business stakeholders to understand reporting requirements.
Maintaining and improving existing reporting pipelines and infrastructure will also be a key responsibility.
We require proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes.
Familiarity with Python, experience in data manipulation libraries such as Pandas and Numpy, and experience with SQL, Snowflake, and Spark for data querying and aggregations are essential skills.
Azure cloud services, such as Data Factory, Databricks, and Datalake, are highly desirable.
We value excellent communication and collaboration skills, ability to work independently and manage multiple tasks effectively.
Key Skills: Python, SQL, Spark, Azure Data Factory, Azure Datalake, Azure Databricks, Azure Service Bus, and Azure Event Hubs.
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