Description

You will design and implement scalable analytics engineering pipelines and data workflows.

This role is on-site.

Responsibilities

• Build performant data workflows on Databricks using Delta Lake and Unity Catalog.
• Translate business requirements into data models, semantic layers, and shared assets.
• Implement data quality checks, CI/CD pipelines, and version control for analytics projects.
• Own the design and implementation of pipelines using dbt Cloud, ensuring modularity and governance.
• Document lineage, metadata, and access patterns to ensure data discoverability and compliance.

Required Skills

• 5+ years of experience in data architecture, analytics engineering, or data engineering.
• Practical experience building transformation pipelines using dbt Cloud (models, tests, macros).
• Hands-on experience with Databricks and AWS.
• Strong proficiency in SQL with familiarity in Python for data workflows.
• Solid understanding of data modeling principles and pipeline orchestration.
• Experience with agile delivery and CI/CD pipelines using GitHub Actions or Databricks repos.
• Experience contributing to architecture and design reviews.

Preferred Skills

• 12+ years of total professional experience.
• 3+ years in current or similar role.

Key Skills

Education

Any Gradute