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

1 week ago

New Delhi, India Tata Consultancy Services Full time

Job DescriptionSN Required Information Details 1 Role AWS Data Engineer 2 Required Technical Skill Set AWSDesired Experience Range 4-6 yrs. 5 Location of Requirement PuneDesired 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 / PythonGood-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 integrationSN Role descriptions / Expectations from the Role 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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