Snowflake with PySpark - Lead

5 - 9 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

As a skilled Snowflake Engineer with 5 to 7 years of experience, your role at UST will involve contributing to the development and maintenance of efficient data solutions on the Snowflake cloud data platform. Your expertise in data engineering, Snowflake, and proficiency in data processing technologies, particularly PySpark, will be key in this role. Key Responsibilities: - Design, implement, and optimize data warehouses on the 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. Qualifications Required: - Proven experience as a Data Engineer, with a 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. In addition to the above, your skills in Snowflake and PySpark will be essential for success in this role.,

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UST

IT Services and IT Consulting

Aliso Viejo CA

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