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AWS GLUE Engineer

8 - 13 years

1 - 4 Lacs

Pune

Posted:1 week ago| Platform: Naukri logo

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Skills Required

AWS continuous integration python aws iam data manipulation glue data processing data warehousing ci/cd pyspark emr bitbucket cloud platform system analysis bamboo aws glue aws cloud database creation devops terraform cloud computing etl

Work Mode

Work from Office

Job Type

Full Time

Job Description

Roles & Responsibilities: Provides expert level development system analysis design and implementation of applications using AWS services specifically using Python for Lambda Translates technical specifications and/or design models into code for new or enhancement projects (for internal or external clients). Develops code that reuses objects is well-structured includes sufficient comments and is easy to maintain Provides follow up Production support when needed. Submits change control requests and documents. Participates in design code and test inspections throughout the life cycle to identify issues and ensure methodology compliance. Participates in systems analysis activities including system requirements analysis and definition e.g. prototyping. Participates in other meetings such as those for use case creation and analysis. Performs unit testing and writes appropriate unit test plans to ensure requirements are satisfied. Assists in integration systems acceptance and other related testing as needed. Ensures developed code is optimized in order to meet client performance specifications associated with page rendering time by completing page performance tests. Technical Skills Required Experience in building large scale batch and data pipelines with data processing frameworks in AWS cloud platform using PySpark (on EMR) & Glue ETL Deep experience in developing data processing data manipulation tasks using PySpark such as reading data from external sources merge data perform data enrichment and load in to target data destinations. Experience in deployment and operationalizing the code using CI/CD tools Bit bucket and Bamboo Strong AWS cloud computing experience. Extensive experience in Lambda S3 EMR Redshift Should have worked on Data Warehouse/Database technologies for at least 8 years. 7. Any AWS certification will be an added advantage.

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