Data Warehouse Architect

2 days ago


Kannur, Kerala, India beBeeSnowflake Full time ₹ 20,00,000 - ₹ 25,00,000
Unlock Data Potential with Snowflake Expertise

As a highly skilled Snowflake Developer, you will be responsible for designing, implementing, and optimizing data warehouses on the Snowflake platform to ensure efficient data storage and scalable performance. Your expertise in leveraging PySpark for advanced data transformations within the Snowflake environment will enable the creation of seamless data pipelines and ETL workflows.

The ideal candidate will possess a strong emphasis on Snowflake features and capabilities, as well as expertise in data modeling, ETL processes, and efficient data storage. Proficiency in programming languages such as Python, SQL, or Scala is also essential.

Key Responsibilities:
  1. Design, Implement, and Optimize Data Warehouses: Develop and maintain scalable and high-performance data storage solutions on the Snowflake platform.
  2. Leverage PySpark for Advanced Data Transformations: Utilize PySpark to implement data cleansing, enrichment, and validation processes within the Snowflake environment.
  3. Create Seamless Data Pipelines and ETL Workflows: Design and implement end-to-end data pipelines on Snowflake ensuring efficient data processing.
Requirements:
  • Proven Experience: A minimum of 3 years of experience as a Data Engineer with a strong emphasis on Snowflake.
  • Expertise in Snowflake Features: In-depth knowledge of Snowflake features and capabilities for data warehousing.
  • PySpark Skills: Expertise in using PySpark for data processing and analytics.
  • Programming Languages: Proficiency in at least one programming language including Python, SQL, or Scala.

Skills: Snowflake, PySpark, Python, SQL, Data Modeling, ETL Processes, Efficient Data Storage.



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