Snowflake Developer - Python/Scala

<p><p><b>Job Role</b> : Snowflake Developer<br/><br/><b>Experience</b> : 6 -10 Years<br/><br/><b>Location</b> : Model</b> : Hybrid<br/><br/><b>Mandatory Skills</b> : Snowflake, PySpark, ETL, SQL<br/><br/><b>Must Have Skills : </b><br/><br/><b>Data Warehouse :</b></p><p><p><b><br/></b></p>- Design, implement, and optimize data warehouses on the Snowflake platform.<br/><br/></p><p>- Ensure effective utilization of Snowflake features for scalable and high-performance data storage.<br/><br/><b>Data Pipeline Development :</b></p><p><p><b><br/></b></p>- Develop, implement, and optimize end-to-end data pipelines on Snowflake.<br/><br/></p><p>- Create and maintain ETL workflows for seamless data processing.<br/><br/><b>Data Transformation with PySpark :</b></p><p><p><b><br/></b></p>- Leverage PySpark for advanced data transformations within the Snowflake environment.<br/><br/></p><p>- Implement data cleansing, enrichment, and validation processes using PySpark.<br/><br/><b>Requirements :</b></p><p><p><b><br/></b></p>- Proven experience as a Data Engineer, with a strong emphasis on Snowflake.<br/><br/></p><p>- Proficiency in Snowflake features and capabilities for data warehousing.<br/><br/></p><p>- Expertise in PySpark for data processing and analytics is a must.<br/><br/></p><p>- Experience with data modeling, ETL processes, and efficient data storage.<br/><br/></p><p>- Proficiency in programming languages such as Python, SQL, or Scala for data processing.<br/><br/><b>Skills : </b>Snowflake, PySpark, Python, SQL</p><br/></p> (ref:hirist.tech)