Description

You will design, build, and maintain data pipelines and analytics solutions.

Responsibilities

• Develop and maintain scalable data pipelines using Snowflake and DBT.
• Design and implement ETL/ELT processes for structured and semi-structured data.
• Collaborate with data analysts, scientists, and business stakeholders to understand data needs.
• Ensure data quality, integrity, and security across all data assets.
• Document data workflows, architecture, and business logic clearly.

Required Skills

• 8-10 years of professional experience in data engineering.
• Expertise in Snowflake, including CDC, Streams, Snowpipe, and Time Travel.
• Strong proficiency in SQL and writing dynamic SQL.
• Hands-on experience with DBT, including modular SQL models and Jinja templating.
• Proficiency in Python for data transformation and automation.
• Experience with Git/GitHub for version control and CI/CD deployments.
• Ability to work with semi-structured data (JSON/XML) and APIs.
• Familiarity with Pandas and NumPy for data manipulation.
• Experience with Agile methodologies and sprint planning.

Key Skills

Education

Any Gradute