Cloud Data Engineer

6 days ago


Aurangābad, India beBeeData Full time

About Data Engineering RoleWe are looking for an experienced data engineer to join our team. The ideal candidate will have a strong background in cloud-native ETL tools, including AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence.The successful candidate will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes on cloud platforms such as AWS, Azure, and GCP.Key Responsibilities:Design, develop, and maintain scalable ETL pipelines using cloud-native tools.Architect and implement data lakes and data warehouses on cloud platforms.Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others.Develop and optimize data processing jobs using Spark Scala.Data Integration and Management:Integrate various data sources 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 Optimization:Monitor and optimize the performance of data pipelines and ETL processes.Implement best practices for data management, including data governance, security, and compliance.Collaboration and Communication:Work 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 Maintenance:Document technical solutions, processes, and workflows.Maintain and troubleshoot existing ETL pipelines and data integrations.



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