Required Skills: Data Analytics, Data Engineering, Data Warehousing, SQL, Python, PySpark, SparkQL, Scala, Snowflake Cloud Developer, data modeling, schema design, query optimization, Azure Data Lake, Azure Data Factory, Metadata management, Data Marts, ETL, ELT processes, CI/CD pipelines

Job Description

• Design, develop, and maintain Snowflake data warehouses and data lakes.
• Integrate and manage data from various sources using Azure Data Lake and Azure Data Factory.
• Implement and maintain data pipelines, ensuring efficient data flow and transformation.
• Develop and enforce data quality and metadata management standards.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.
• Optimize and tune Snowflake environments for performance and cost efficiency.
• Monitor and troubleshoot data pipelines and workflows to ensure reliability and accuracy.
• Stay updated with the latest trends and best practices in Snowflake, Azure, and data management.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 7+ years of post-graduate experience in Data Analytics, Data Engineering and/or Data Warehousing required.
• 5+ years of experience with scripting languages such as SQL, Python, PySpark, SparkQL or Scala.  
• 2+ years of experience as a Snowflake Cloud Developer including strong expertise in Snowflake, including data modeling, schema design, and query optimization required.
• 2+ years of Azure Data Lake and Azure Data Factory required.
• 2+ years of experience with Metadata management, Data Marts and data quality principles is required.
• 2+ years of experience with CI/CD pipelines and utilization of Gitlab and Automation processes for code deployment required.
• Strong experience with ETL/ELT processes and tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills