
Snowflake Data Engineer
11 hours ago
Key Responsibilities
Design, implement and optimize data warehouses on Snowflake platform.
Ensure effective utilization of Snowflake features for scalable and high-performance data storage.
Develop, implement and optimize end-to-end data pipelines on Snowflake.
Create and maintain ETL workflows for seamless data processing.
Leverage PySpark for advanced data transformations within the Snowflake environment.
Implement data cleansing, enrichment and validation processes using PySpark.
Job Requirements
6-10 Years experience as Data Engineer with strong emphasis on Snowflake.
Proficiency in Snowflake features and capabilities for data warehousing.
Expertise in PySpark for data processing and analytics is a must.
Experience with data modeling, ETL processes and efficient data storage.
Proficiency in programming languages such as Python, SQL or Scala for data processing.
About Us
We are seeking highly skilled professionals who can work independently and collaboratively to deliver high-quality solutions.
Contact Information
Email: [your email] | Phone: [your phone number]
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