Description

You will build and maintain data models, pipelines, and quality frameworks to support business intelligence and analytics.

Responsibilities

• Create logical and conceptual data models and data flows based on stakeholder requirements.
• Maintain Snowflake schemas by building views and table structures to update or add datasets.
• Develop and implement scalable data processing pipelines and define rules for data harmonization and quality.
• Perform data quality assessments to identify concerns and provide relevant insights to cross-functional teams.
• Apply AGILE methodologies and software engineering best practices, including git version control and documentation.

Required Skills

• 3+ years of experience with SQL and Snowflake, specifically for table creation and data extraction.
• 1+ years of experience supporting data analytics, data science, or analytic methods.
• Experience providing data to support dashboards and visualizations.
• Proven ability to work in cross-functional teams alongside technical resources and subject-matter experts.
• Experience using AGILE methodologies and version control via git.
• Strong analytical, problem-solving, and presentation skills.
• Bachelor's degree or equivalent.

Preferred Skills

• Data engineering experience.
• Handling large volumes of data for visualization.
• Knowledge of data governance and data quality best practices.

Key Skills

Education

Any Graduate