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5.0 - 9.0 years

0 Lacs

karnataka

On-site

As an AWS Senior Data Engineer (SDE) at Infosys in India, you will be responsible for working on various technologies and tools related to cloud data engineering. Your role will involve expertise in SQL, Pyspark, API endpoint ingestion, Glue, S3, Redshift, Step Functions, Lambda, Cloudwatch, AppFlow, CloudFormation, and administrative tasks related to cloud services. Additionally, you will be expected to have knowledge of SDLF & OF frameworks, S3 ingestion patterns, and exposure to Git, Jfrog, ADO, SNOW, Visual Studio, DBeaver, and SF inspector. Your primary focus will be on leveraging these technologies to design, develop, and maintain data pipelines, ensuring efficient data processing and storage on the cloud platform. The ideal candidate for this position should have a strong background in cloud data engineering, familiarity with AWS services, and a proactive attitude towards learning and implementing new technologies. Excellent communication skills and the ability to work effectively within a team are essential for success in this role.,

Posted 2 days ago

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5.0 - 9.0 years

0 Lacs

karnataka

On-site

As an AWS Senior Data Engineer at our organization, you will be responsible for working with various technologies and tools to support the data engineering activities. Your primary tasks will include utilizing SQL for data querying and manipulation, developing data processing pipelines using Pyspark, and integrating data from API endpoints. Additionally, you will be expected to work with AWS services such as Glue for ETL processes, S3 for data storage, Redshift for data warehousing, Step Functions for workflow automation, Lambda for serverless computing, Cloudwatch for monitoring, and AppFlow for data integration. You should have experience with Cloud formation and administrative roles, as well as knowledge of SDLF & OF frameworks for data lifecycle management. Understanding S3 ingestion patterns and version control using Git is essential for this role. Exposure to tools like Jfrog, ADO, SNOW, Visual Studio, DBeaver, and SF inspector will be beneficial in supporting your data engineering tasks effectively. Your role will involve collaborating with cross-functional teams to ensure the successful implementation of data solutions within the AWS environment.,

Posted 4 days ago

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