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

4 weeks ago


Bengaluru, India Tata Consultancy Services Full time

Job Description SN 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 SN 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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