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Innovative Cloud Data Solutions

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Cloud Data EngineerLeverage cutting-edge cloud-native tools to design and develop scalable ETL pipelines, data lakes, and data warehouses on leading cloud platforms.Key Responsibilities:Design and implement robust ETL processes using AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.Architect and deploy data lakes and data warehouses on AWS, Azure, and GCP.Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.Requirements:7+ years of experience as a Data Engineer or in a similar role.Proven expertise with cloud platforms: AWS, Azure, and GCP.Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.Bonus Points:Experience with cloud migration and deployment strategies.Proficiency in DevOps practices and CI/CD methodologies.What We Offer:A dynamic work environment with opportunities for growth and development.A competitive compensation package and comprehensive benefits.Collaborative teams and recognition for contributions.