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AWS GLUE Engineer GEETHA TECHNOLOGY SOLUTIONS PRIVATE LIMITED

  • company name GEETHA TECHNOLOGY SOLUTIONS PRIVATE LIMITED
  • working location Office Location
  • job type Full Time

Experience: 8 - 13 years required

Pay: INR 1 - INR 10001 /Month

Type: Full Time

Location: Pune

Skills: aws, continuous integration, Python, aws iam, data manipulation, glue, Data Processing, data warehousing

About GEETHA TECHNOLOGY SOLUTIONS PRIVATE LIMITED

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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