TCS Hiring for AWS Data Engineer_India(WFO)
Published date: 2024/01/10
- Location: India
Dear Candidate,
Greetings!
We have an opening for TCS, Pan India "AWS Data Engineer"
Skill : AWS Data Engineer
Experience : 5 - 6 Years
Location: Pan India
Minimum Qualification:
• 15 years of full-time education
• Minimum percentile of 50% in 10th, 12th, UG & PG (if applicable)
Please find below JD:
Required Technical Skill Set: AWS cloud
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
Role descriptions
1 Ability to understand and articulate the different functions within AWS and design appropriate solution, HLD, LLD around it.
2 Ability to identify and gather requirements to define a solution to be built and operated on AWS, perform high level and low-level design.
3 AWS Data Engineer will be responsible for building the services as per the design
Greetings!
We have an opening for TCS, Pan India "AWS Data Engineer"
Skill : AWS Data Engineer
Experience : 5 - 6 Years
Location: Pan India
Minimum Qualification:
• 15 years of full-time education
• Minimum percentile of 50% in 10th, 12th, UG & PG (if applicable)
Please find below JD:
Required Technical Skill Set: AWS cloud
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
Role descriptions
1 Ability to understand and articulate the different functions within AWS and design appropriate solution, HLD, LLD around it.
2 Ability to identify and gather requirements to define a solution to be built and operated on AWS, perform high level and low-level design.
3 AWS Data Engineer will be responsible for building the services as per the design
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