Senior Data Engineer

1. Data Pipeline Development & Design

• Design and build complex data pipelines for ingestion, transformation, and delivery on modern data platforms.
• Lead the design of reusable transformation logic and scalable data models that follow established engineering standards.
• Make technical design decisions for curated datasets, balancing performance, reliability, and reusability.
• Review code and designs from other engineers to maintain quality and consistency.

2. Data Quality & Governance Support

• Implement and improve automated data validation and quality checks as part of pipeline development.
• Lead investigation and resolution of complex data quality issues.
• Ensure metadata, documentation, and lineage are maintained to support discoverability and governance.

3. Operational Readiness & Reliability

• Drive CI/CD practices for data deployments, including testing and environment promotion.
• Lead troubleshooting and root-cause analysis for complex pipeline failures.
• Contribute to operational practices for incident handling and continuous improvement.

4. Technical Mentorship & Collaboration

• Mentor junior and mid-level data engineers on coding standards, design patterns, and troubleshooting.
• Work with Product Managers and stakeholders to clarify requirements and data expectations.
• Partner with analytics and BI teams to ensure data assets support reporting and insights.
• Communicate clearly on progress, risks, and dependencies, including in technical design discussions.