Job Title - Data Engineer
Job Location - Hyderabad
Mode of Work - Work From Office.
Experience - 5+ Years
Data Engineer - Data & Applied M/L Engineer
The Role
This role bridges the gap between core data engineering and practical machine learning applications. Primarily, you will be a data platform engineer responsible for owning core data pipelines, data models, and quality controls that power client analytics and future data products.
Secondarily, you will drive the production lifecycle of our shopping cart computer-vision feature. You will orchestrate the data workflows that interface with our Machine Learned models to ensure accurate cart classification, while leveraging the Face First ML team for deeper capacity. You will collaborate with BI Analysts, software engineers, and product teams to transform raw data into actionable insights.
Key Responsibilities
Data Platform, Pipelines, & Quality (Primary Focus)
Pipeline Design & Operation: Design, build, and operate scalable ELT/ETL pipelines that ingest data from Io T/smart-cart telemetry, video events, operational systems,



and external partners into our cloud data lake/warehouse.
Infrastructure Management: Build and maintain robust data infrastructure, including databases (SQL and No SQL), data warehouses, and data integration solutions.
Data Modeling: Establish canonical data models and definitions (schemas, event taxonomy, metrics) so teams can trust and reuse the same data across products, BI, and analytics.
Data Quality Assurance: Own data quality end-to-end by implementing validation rules, automated tests, anomaly detection, and monitoring/alerting to prevent and quickly detect regressions.
Consistency & Governance: Drive data consistency improvements across systems (naming, identifiers, timestamps, joins, deduplication) and document data contract expectations with producing teams.
Root Cause Analysis: Troubleshoot pipeline and data issues, perform root-cause analysis, and implement durable fixes that improv

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