Snowflake: In-depth knowledge of Snowflake, including data modeling, data warehousing, and ETL development.
SQL: Proficiency in SQL and scripting languages, such as JavaScript or Python.
Data Warehousing: Solid understanding of data warehousing concepts, including ETL, data marts, and data lakes.
Data Governance: Familiarity with data governance frameworks, including data quality, data security, and data compliance.
Communication*: Excellent communication and collaboration skills.
Positive to have
Snowflake Certifications: Relevant certifications, such as Snowflake Certified Developer or Snowflake Certified Architect.
Cloud Experience: Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
Big Data: Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases.
Data Science*: Experience with data science tools, including Python, R, or SQL