Data Engineer (Data Product)

Mandatory Skills Strong understanding of Data as a Product mindset Ability to convert business outcomes into data product requirements Defining and managing Data product scope/Data contracts Domain knowledge (e.g., Finance, Sales, Supply Chain, Customer, Risk) Expert in ETL / ELT design patterns Hands on experience with Azure / AWS / GCP Hands on experience with Data Warehouses (Snowflake/Azure Synapse) Data Product Engineering Ownership Lead the design, build, and maintenance of domain owned data products Translate product requirements into scalable data engineering solutions Ensure data products meet defined: Functional requirements SLAs / SLOs Quality and compliance standards Collaboration with Data Product Owner Partner closely with the Data Product Owner to: Understand business outcomes and priorities Refine data product scope and roadmap Balance delivery speed with technical sustainability Provide technical input for backlog prioritization and sprint planning Data Pipeline & Transformation Design Design and implement ETL/ELT pipelines for data products Support: Batch and near real time processing Structured and semi structured data Manage schema evolution and backward compatibility Implement data contracts for product consumers Data Quality, Reliability & Trust Define and enforce data quality rules for data products Implement: Validation checks Reconciliation logic Data freshness monitoring Ensure high availability and fault tolerance Lead root cause analysis for data incidents Drive continuous quality improvement #J-18808-Ljbffr