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Technical Lead-Adf/Spark/Kafka
2 months ago
Tech Lead-Python, Spark/Scala, Kafka and Cloud storage on Azure Cloud platform RoleSr.Data EngineerYears of Experience5-7 YrsPreferred LocationHYD 2Shift Timing (IST)11:00 AM - 08:30 PMShort DescriptionDevelop batch and real-time streaming data pipelines using Python, Spark/Scala, Kafka and Cloud storage on the Azure Cloud platform, as well as implement and integrate APIs using Microservice architecture in SpringBoot/JavaEngagement Duration (in Months)18Engagement & Project Overview IDStrat Transformation and ClinicalInsightsPrimary ResponsibilitiesBuild batch and real-time streaming data pipelines using Python, Spark/Scala, Kafka and Cloud storage on Azure Cloud platformEnd-to-End ownership, implement to production deploymentSchedule ETL jobs, monitor the pipeline, resolving the issuesContribute in designing the data solutions including integration, transformation and loadingMust Have SkillsShould have minimum 5-7 years of experience in Data Engineering and ETLMinimum 2 years of experience in building data solutions on Azure CloudExperience in developing batch and real-time streaming data pipelines using Python, Spark/Scala, Kafka and Cloud storage on Azure Cloud platformHands on experience in implementing and integrating APIs using Microservice architecture in SpringBoot/JavaExperience in Azure Data Factory to streamline orchestration and data movement tasks and integrate with Databricks and optimize Spark ETL jobsExperience in integrating, transforming, and consolidating data from various structured and unstructured dataExperience with Azure services such as ADLS, Databricks, AKS, Azure EventHub, CosmosDBStrong hold on SQL and NoSQL databasesTranslate complex functional and technical requirements into detailed designExpert in CI/CD including automating data pipelines, monitoring data processes, and managing deploymentsPropose best practices/standardsExcellent communication skills.Nice To Have Skills Snowflake