Data Engineer(AWS,S3, Datalake, AWS Glue, Lambda, RMR,"Python", Pyspark Engineer)

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Required Information

Details

1

Role

AWS Data Engineer

2

Required Technical Skill Set

AWS

Desired Experience Range

4-6 yrs.

5

Location of Requirement

Pune

Desired Competencies (Technical/Behavioral Competency)

Must-Have

• Should have expertise in creating data warehouses in AWS utilizing the following tools: EC2, S3, EMR, Athena, Sagemaker, Aurora and Snowflake., Kafka, Kinesis, Glue, Lambda, DMS, AppFlow, PowerBI
• Advanced development experience in cloud technologies such as AWS Aurora/RDS/S3, Lambda, JSON, Python
• Proficiency in scripting, querying, and/or analytics tools: Linux, python, SQL (already covered in description)

Analyze, re-architect and re-platform on premise / cloud data sources to AWS platform using AWS Glue.

• Design, build and automate AWS data pipelines from ingestion of data into consumption layer using Java / Python

Good-to-Have

• Basic knowledge in Redhat Linux and Windows Operating Systems
• Good at Console and the AWS CLI and APIs
• Knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform.
• AWS API's for integration

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Role descriptions / Expectations from the Role

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Ability to understand and articulate the different functions within AWS and design appropriate solution, HLD, LLD around it.

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Ability to identify and gather requirements to define a solution to be built and operated on AWS, perform high level and low-level design.

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AWS Data Engineer will be responsible for building the services as per the design