Data Product EngineerMandatory Skills:Strong understanding of Data as a Product mindsetAbility to convert business outcomes into data product requirementsDefining and managing Data product scope/Data contractsDomain knowledge (e.g., Finance, Sales, Supply Chain, Customer, Risk)Expert in ETL / ELT design patternsHands on experience with Azure / AWS / GCPHands on experience with Data Warehouses (Snowflake/Azure Synapse)Data Product Engineering Ownership:Lead the design, build, and maintenance of domain owned data productsTranslate product requirements into scalable data engineering solutionsEnsure data products meet defined:Functional requirementsSLAs / SLOsQuality and compliance standardsCollaboration with Data Product Owner:Partner closely with the Data Product Owner to:Understand business outcomes and prioritiesRefine data product scope and roadmapBalance delivery speed with technical sustainabilityProvide technical input for backlog prioritization and sprint planningData Pipeline & Transformation Design:Design and implement ETL/ELT pipelines for data productsSupport:Batch and near real time processingStructured and semi structured dataManage schema evolution and backward compatibilityImplement data contracts for product consumersData Quality, Reliability & Trust:Define and enforce data quality rules for data productsImplement:Validation checksReconciliation logicData freshness monitoringEnsure high availability and fault toleranceLead root cause analysis for data incidentsDrive continuous quality improvement