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Data Engineer
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Job Description
Role : AWS Data Engineer
Requirement:
Development of data platforms, integration frameworks, processes, and code.
Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages
Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.
Elaborate stories in a collaborative agile environment (SCRUM or Kanban)
Familiarity with cloud platforms like GCP, AWS or Azure.
Experience with large data volumes.
Familiarity with writing rest-based services.
Experience with distributed processing and systems
Experience with Hadoop / Spark toolsets
Experience with relational database management systems (RDBMS)
Experience with Data Flow development
Knowledge of Agile and associated development techniques including:
Iterative Development
Refactoring
Unit Testing
Continuous Integration and Delivery
Acceptance Test Driven Development
Knowledge of formal testing and deployment methods from conception
Snowflake and redshift experience compulsory
Details
Experience (Min) :
3.0 Years
Experience (Max) :
5.0 Years
Job Type :
Onsite & remote
Location :
Gurgaon , Haryana , India
Pune , Maharashtra , India
Bangalore , Karnataka , India
Primary Skills
AWS
AWS Data Engineering
Snowflake
Redshift
Secondary Skills
Frameworks
APIs
Scala
Python
Testing
SCRUM
Kanban
Cloud platforms
GCP
AWS
Azure
Rest-based services
Hadoop
Agile
Spark
RDBMS
Data Flow
Iterative Development
Refactoring
Refer and Earn
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