Key Responsibilities:

Design and implement Snowflake cloud data architecture to meet business requirements.
Develop, test, and maintain ETL processes to extract data from various sources and load it into Snowflake data warehouse.
Collaborate with data analysts and business stakeholders to understand data requirements and provide optimal solutions.
Troubleshoot and debug any issues with data pipelines, data quality, and performance.
Optimize data warehouse design and performance to ensure efficient data retrieval and processing.
Develop and maintain data governance policies and procedures to ensure data accuracy, security, and privacy.
Monitor and maintain the health and security of the Snowflake cloud environment.
Stay up-to-date with the latest Snowflake features and best practices, and continuously improve data infrastructure processes.
Contribute to the development and implementation of data analytics projects.
Provide technical guidance and support to other team members.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 3 years of experience in data engineering, database administration, or a similar role.
Strong experience in Snowflake cloud data warehouse, including designing and implementing data warehouse architecture, ETL processes, and data governance.
Proficient in SQL and scripting languages such as Python or Java.
Hands-on experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
Knowledge of data modeling, data warehousing, and data integration concepts.
Experience with data analytics and visualization tools such as Tableau or Power BI.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work independently and in a team environment.
Snowflake Cloud Certified Professional or similar certification is a plus.

Apply now and take your career to the next level as a Snowflake Cloud Engineer!

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