Data EngineerAdvanced expertise in ETL / ELT pipeline designHandling:Batch data processingNear real time / streaming dataExperience with structured and semi structured dataStrong knowledge of:Incremental loadingCDC (Change Data Capture)Pipeline orchestration and dependency managementStrong programming skills in Python or Scala or Java (nice to have)Performance optimization for large scale data processingSolid understanding of:Dimensional modeling (Star / Snowflake)Normalized and denormalized modelsStrong experience on: Azure, AWS, or GCPHands on with Data Warehouses (Snowflake, Synapse, BigQuery, Redshift)Data Architecture & Solution DesignDesign end to end data engineering architecturesDefine scalable solutions for:Data lakes / lakehouseData warehousesStreaming and real time systemsEnsure alignment with enterprise architecture, security, and compliance standardsReview and approve technical designsData Pipeline Development & ManagementLead development of ETL / ELT pipelinesHandle:Batch and real time ingestionStructured and semi structured dataOptimize pipelines for performance, reliability, and costManage schema evolution and data dependenciesData Quality, Reliability & OperationsEstablish data quality standards and validation rulesImplement monitoring, alerting, and observabilityPerform root cause analysis for data incidentsDrive operational excellence and stabilityDevOps / DataOps EnablementBuild CI/CD pipelines for data workloadsAutomate testing, deployment, and rollbackImprove reliability through automation