Snowflake Engineer

We are looking for a Snowflake Engineer with 13 years of hands-on experience in data engineering and cloud data platforms. The ideal candidate should have practical experience working with Snowflake SQL Python and ETL/ELT pipelines and be comfortable working with large datasets.

This role is suited for someone who enjoys solving data problems learning new technologies and building scalable data solutions.

• Develop and maintain data pipelines using Snowflake and SQL.
  
• Write complex SQL queries for data transformation extraction and analysis.
  
• Build and maintain ETL/ELT pipelines from multiple data sources.
  
• Work with Snowflake features such as Streams Tasks Snow pipe and stored procedures.
  
• Develop data transformations and automation using Python.
  
• Create and maintain tables views schemas and data models in Snowflake.
  
• Monitor and troubleshoot data pipelines and resolve data quality issues.
  
• Optimize SQL queries and Snowflake workloads for performance and cost.
  
• Work with cloud storage and services such as AWS S3 Azure Blob Storage or GCP.
  
• Collaborate with senior engineers analysts and other stakeholders to understand data requirements.
  
• Participate in code reviews testing deployment and technical documentation.
  
• Follow best practices for data security quality and reliability.
  

• 13 years of hands-on experience in Data Engineering Data Warehousing or a related role.
  
• Hands-on experience with Snowflake.
  
• Strong SQL skills.
  
• Working knowledge of Python.
  
• Understanding of ETL/ELT pipelines and data integration.
  
• Basic understanding of data modelling and database concepts.
  
• Experience working with at least one cloud platform AWS Azure or GCP.
  
• Familiarity with Git/version control.
  
• Good analytical and problem-solving skills.
  

• Experience with Snowflake Streams Tasks Snow pipe or Dynamic Tables.
  
• Experience with dbt.
  
• Familiarity with Apache Airflow or other workflow orchestration tools.
  
• Exposure to AWS services such as S3 Lambda Glue or Redshift.
  
• Experience with APIs JSON or other data formats.
  
• Exposure to CI/CD practices.
  
• Understanding of data quality and data governance.
  
• Snowflake certification.
  

• Strong hands-on and practical approach to problem-solving.
  
• Ability to understand requirements and translate them into technical solutions.
  
• Good communication and collaboration skills.
  
• Willingness to learn and work with modern data technologies.
  
• Ability to work independently while collaborating with senior team members.
  
• Strong attention to detail and data quality.