
Senior Data Warehouse Architect
17 hours ago
Experience - 6-10 Years
Location - Nationwide
Work Model - Hybrid
Mandatory Skills - Snowflake, PySpark
Data Warehouse Design and Development:
- Develop and implement scalable data warehouses on the Snowflake platform.
- Optimize data storage using Snowflake features for high-performance results.
Data Pipeline Creation:
- Create end-to-end data pipelines on Snowflake.
- 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:
- Proven experience as a Data Engineer with expertise in Snowflake.
- Proficiency in Snowflake features and capabilities for data warehousing.
- Expertise in PySpark for data processing and analytics is essential.
- Experience with data modeling, ETL processes, and efficient data storage.
- Proficiency in programming languages such as Python, SQL, or Scala for data processing.
Suitable Candidates will have skills in:
Snowflake, PySpark, Python, SQL
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