Solution Data Engineer Sr.

Databricks EngineerMust Have Skills:English advancedDatabricks EcosystemFull management of the Databricks environmentEnvironment configuration and workspace administrationGovernance & StorageImplement data governance using Unity CatalogManage structured storage with Delta Lake tablesDevelopmentWrite and optimize data processing logic using Python, SQL, and PySparkVersion ControlManage code lifecycle and collaborative development using GitData Warehousing & Integration (Important)Important Skills:SnowflakeManage data architecture, performance, and integrations within SnowflakeAdobe Data IngestionHandle Adobe Data Feeds and Adobe AnalyticsEnsure correct ingestion and transformation of external marketing dataNice to Have:RedshiftOversee data warehousing operations in Amazon RedshiftOrchestrationUse Airflow to schedule, monitor, and manage complex data pipeline workflowsDesirable:Google Cloud PlatformMaintain data availability and basic operations in BigQueryAWS Data ServicesManage serverless querying with AthenaHandle metadata management with AWS GluePipeline OwnershipOwn end to end maintenance of data pipelinesEnsure reliability from data ingestion through final delivery across multiple cloud platformsREMOTEADVANCED ENGLISH