Key Responsibilities:

Design, build, and maintain our data infrastructure on the Snowflake platform
Develop and implement data models and schemas to support our data analytics needs
Monitor and troubleshoot data pipelines to ensure data accuracy and integrity
Collaborate with data analysts and scientists to understand data requirements and optimize data structures for analysis
Work closely with our DevOps team to manage data storage and compute resources on Snowflake
Develop and maintain ETL processes for data ingestion and transformation
Build and maintain data dictionaries and documentation for our data infrastructure
Continuously evaluate and recommend improvements to our data architecture for better performance and scalability
Stay updated with the latest Snowflake features and best practices and incorporate them into our data infrastructure

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum 3 years of experience working with Snowflake, including data modeling, ETL development, and performance tuning
Strong understanding of data warehousing concepts and methodologies
Proficient in SQL and scripting languages such as Python or Bash
Experience with cloud platforms such as AWS, Azure, or GCP
Familiarity with DevOps tools such as Terraform, Docker, and Kubernetes
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills
Ability to work independently and in a team environment
Prior experience in a data engineering role is preferred
Snowflake certifications are a plus

Join us and be a part of a dynamic and innovative company where your skills and expertise will be valued and continuously challenged. Apply now and take your career to the next level as a Snowflake Data Engineer.

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