Data Engineer

About the role

The role will focus on data ingestion, Bronze/Silver/Gold transformations, data quality, deployment, production operations, assigned semantic models, and technical documentation. This is a hands-on data engineering role. The Data Engineer will deliver solutions using approved frameworks, architecture patterns, and standards established by the Principal Data Platform Architect, partnering with platform, analytics, security, and business teams.

What you'll do

• Build and maintain source ingestion pipelines using approved integration patterns for enterprise applications, databases, APIs, and files
• Develop and maintain Bronze/Silver/Gold transformations using approved frameworks and reusable engineering practices
• Implement validation and data-quality controls, including completeness, accuracy, consistency, and reconciliation checks
• Follow GitHub-based CI/CD, testing, release management, and environment promotion processes
• Monitor production pipelines, investigate failures, troubleshoot issues, and implement corrective actions

What you need

• 1–3 years in data science & ai
• SQL
• Python
• Databricks
• Spark
• CI/CD
• Git
• Any graduate

Good to have

• Office 365
• Power BI
• Unity
• Azure
• Reconciliation
• ETL