
Senior Data Warehouse Specialist
7 days ago
Job Role: Snowflake Developer
A seasoned data professional with 6-10 years of experience in designing, implementing, and optimizing data warehouses on the Snowflake platform is required. The ideal candidate will have expertise in leveraging Snowflake features for scalable and high-performance data storage.
The selected candidate will work on developing, implementing, and optimizing end-to-end data pipelines on Snowflake. This includes creating and maintaining ETL workflows for seamless data processing. Proficiency in PySpark for advanced data transformations within the Snowflake environment is a must.
The requirements for this role include proven experience as a Data Engineer, strong proficiency in Snowflake features and capabilities for data warehousing, and expertise in PySpark for data processing and analytics. Additionally, experience with data modeling, ETL processes, and efficient data storage is essential.
This role requires proficiency in programming languages such as Python, SQL, or Scala for data processing. The selected candidate will be responsible for working on data transformation with PySpark, data cleansing, enrichment, and validation processes using PySpark.
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