Our Client is building a data platform where product, analytics, and customer-facing decisions rely on accurate, consistent, and timely data.

As we scale, ensuring the integrity of data across pipelines, transformations, and downstream systems becomes critical.

Role Overview

You will work across the data stack to ensure that data flowing through our systems remains reliable, consistent, and aligned with business expectations.

This involves working closely with data pipelines, transformations, and analytical layers to identify inconsistencies, investigate anomalies, and improve overall data quality.

Responsibilities

• Work with data pipelines across ingestion, transformation, and warehouse layers
• Investigate discrepancies in metrics, dashboards, and downstream data systems
• Trace data issues across multiple stages (source - transformation - output)
• Collaborate with pr...