
Chief Data Architect
4 days ago
Job Role - Data Professional
Experience - 6-10 Years
Location - Major Cities Across India
Work Model - Hybrid
Mandatory Skills - Snowflake, PySpark
Must Have Skills:
Data Warehouse:
Design, implement, and optimize data warehouses on the Snowflake platform. Ensure effective utilization of Snowflake features for scalable and high-performance data storage.
Data Pipeline Development:
Develop, implement, and optimize end-to-end data pipelines on Snowflake. Create and maintain ETL workflows for seamless data processing.
Data Transformation with PySpark:
Leverage PySpark for advanced data transformations within the Snowflake environment. Implement data cleansing, enrichment, and validation processes using PySpark.
Requirements:
A strong emphasis is placed on having a proven track record as a Data Engineer, proficiency in Snowflake features, and expertise in PySpark. Experience with data modeling, ETL processes, and efficient data storage is essential.
Skills
Snowflake, PySpark, Python, SQL
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