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

3 days ago

Bengaluru, India Tata Consultancy Services Full time

Job DescriptionSNRequired InformationDetails1RoleAWS Data Engineer2Required Technical Skill SetAWSDesired Experience Range4-6 yrs.5Location of RequirementPuneDesired 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 integrationSNRole descriptions / Expectations from the Role1Ability to understand and articulate the different functions within AWS and design appropriate solution, HLD, LLD around it.2Ability to identify and gather requirements to define a solution to be built and operated on AWS, perform high level and low-level design.3AWS Data Engineer will be responsible for building the services as per the design

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