Snowflake Data Engineer

Seeking an accomplished and detail-oriented Snowflake Data Engineer to build and optimize modern data ecosystems, design and implement secure and high-performing data pipelines, and collaborate with cross-functional teams.

Requirements

• BSc/MSc in Computer Science, Data Engineering, or related field
• Snowflake certifications (SnowPro Core, Advanced) highly desirable
• Minimum 5–8 years in data engineering, data warehousing, or data architecture roles
• At least 3+ years working with Snowflake
• Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms
• Strong SQL and Python (or equivalent language) skills for data manipulation and automation
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)
• Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop)
• Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines
• Understanding of data governance, security, and compliance frameworks

Benefits

• Competitive salary
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Flexible working hours and remote work options