Description

You will design, develop, and maintain advanced data applications using Snowflake and related technologies.

This role is on-site.

Responsibilities

• Design detailed data models, schemas, views, and stored procedures using Snowflake features like time travel and zero-copy cloning.
• Develop scalable data pipelines using Snowflake SQL, Snowpipe, and integration tools to ingest and transform data.
• Lead deployment activities across multiple environments to ensure consistent and error-free releases.
• Implement data validation and monitoring frameworks to maintain high data quality and performance.
• Mentor junior developers and provide technical guidance on Snowflake optimization techniques.

Required Skills

• 10+ years of experience in data engineering, data warehousing, or data analysis.
• At least 3 years of hands-on Snowflake experience, including performance tuning and advanced SQL development.
• Proficiency in SQL and Python.
• Experience with data integration tools such as AWS AppFlow, Apache Spark, or Kafka.
• Proven track record building ETL/ELT pipelines in cloud-based environments.
• Experience with DevOps practices, CI/CD pipelines, and Git.
• Competency with Jira for issue tracking.
• Strong background in debugging and large-scale data handling.
• Experience leading or mentoring small to mid-sized development teams.

Preferred Skills

• Exposure to iPaaS tools such as Workato.
• Experience with Salesforce Data Cloud integration.

Key Skills

Education

Any Graduate