Lead Snowflake Engineer

Anblicks; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Anblicks is seeking a data engineer to design Snowflake data pipelines and data warehouses that support BI, analytics, and ML initiatives. You will optimize models and queries for efficient data access, and help implement robust data governance to ensure quality and security.

You will collaborate with analysts, scientists, and stakeholders to translate data needs into robust solutions, mentor junior engineers, and stay current with Snowflake features and best practices, contributing to

Responsibilities

• Design and implement Snowflake data pipelines and data warehouses to support business intelligence, analytics, and machine learning initiatives.
• Optimize data models and query performance to ensure efficient data access and analysis.
• Develop and maintain data governance policies and procedures to ensure data quality and security.
• Collaborate with data analysts, scientists, and business stakeholders to understand their data requirements and translate them into technical solutions.
• Mentor and guide junior data engineers in their professional development.
• Stay up-to-date with the latest Snowflake features and best practices.
• Contribute to the development of data engineering standards and methodologies.
• Having experience in data mastering is an added advantage.

Skills

Snowflake

Data pipelines

Data warehouses

Job description

• Design and implement Snowflake data pipelines and data warehouses to support business intelligence, analytics, and machine learning initiatives.
• Optimize data models and query performance to ensure efficient data access and analysis.
• Develop and maintain data governance policies and procedures to ensure data quality and security.
• Collaborate with data analysts, scientists, and business stakeholders to understand their data requirements and translate them into technical solutions.
• Mentor and guide junior data engineers in their professional development.
• Stay up-to-date with the latest Snowflake features and best practices.
• Contribute to the development of data engineering standards and methodologies.
• Having experience in data mastering is an added advantage.