Cloud Data Infrastructure Specialist

2 days ago


alwar, India beBeeDataEngineering Full time

About our Data Engineering TeamWe deliver innovative solutions to enterprise customers across multiple verticals and geographies. We partner with global tech leaders.We seek a highly skilled Cloud Data Engineer with strong AWS, Azure, GCP experience. The ideal candidate will have experience with cloud-native ETL tools like AWS DMS, Glue, Kafka, Azure Data Factory, GCP Dataflow, Informatica, SAP Data Intelligence.The engineer will design, implement, and maintain robust data pipelines and scalable data lakes. Experience with Redshift, Snowflake, Databricks, Synapse is essential.Key Responsibilities:Design and develop scalable ETL pipelines using cloud-native tools.Architect and implement data lakes and warehouses on cloud platforms.Develop and optimize data ingestion, transformation, and loading processes.Implement ETL processes using various tools.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 testing and validation.Extract data from ERP systems when necessary.Performance Optimization:Monitor and optimize the performance of data pipelines and ETL processes.Implement best practices for data management, including governance, security, and compliance.Collaboration and Communication:Work closely with data scientists, analysts, and stakeholders to understand data requirements.Collaborate with cross-functional teams to design and implement data solutions.Documentation and Maintenance:Document technical solutions, processes, and workflows.Maintain and troubleshoot existing ETL pipelines and data integrations.



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