Cloud Data Platform Specialist

6 hours ago


erode, India beBeeData Full time

Cloud Data Engineer Role OverviewLemongrass, a leading software-enabled services provider, delivers superior managed services to Enterprise customers through automated solutions.We seek an experienced Cloud Data Engineer with expertise in AWS, Azure, and GCP. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica and SAP Data Intelligence.Key Responsibilities:ETL Pipeline Development: Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.).Data Lake and Warehouse Architecture: Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP).Data Ingestion and Transformation: Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.ETL Process Implementation: Implement ETL processes using tools like Informatica and SAP Data Intelligence.Data Processing Optimization: Develop and optimize data processing jobs using Spark Scala.Data Integration and ManagementIntegrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake.Ensure data quality and integrity through rigorous testing and validation.Perform data extraction from SAP or ERP systems when necessary.Performance OptimizationMonitor and optimize the performance of data pipelines and ETL processes.Implement best practices for data management, including data governance, security, and compliance.Collaboration and CommunicationWork closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.Collaborate with cross-functional teams to design and implement data solutions that meet business needs.Documentation and MaintenanceDocument technical solutions, processes, and workflows.Maintain and troubleshoot existing ETL pipelines and data integrations.



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