Description

Design, develop, and maintain complex data pipelines and ETL/ELT processes within Snowflake. Optimize data models and queries for performance, scalability, and cost efficiency. Ensure data quality, integrity, and security across all workflows. Build and maintain data-driven applications and dashboards using visualization tools. Collaborate with analysts and stakeholders to translate business requirements into technical solutions. Mentor junior developers and provide technical guidance.

Responsibilities

• Design and implement complex data pipelines and ETL/ELT processes using Snowflake.
• Optimize data models, stored procedures, and queries for performance and scalability.
• Ensure data quality, integrity, and security across all data workflows.
• Develop and maintain data-driven applications and dashboards.
• Mentor junior developers and provide technical guidance on best practices.

Required Skills

• 12+ years of experience as a Data Engineer or Software Engineer with a focus on data warehousing.
• Extensive experience with Snowflake, including advanced SQL, data modeling, and performance tuning.
• Strong proficiency in Python or Scala for data engineering tasks.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Proficiency in data visualization tools like Tableau or Power BI.
• Experience with data integration tools and technologies.
• Any Graduate degree.

Preferred Skills

• Experience mentoring junior developers and providing technical guidance.
• Strong analytical and problem-solving skills.

Key Skills

Education

Any Graduate