RippleCode off-campus recruitment 2022 

This is informed to all the candidate who is jobseekers then have a great opportunity in RippleCode is announced hiring for the position of AWS Cloud Engineer those candidates who are waiting for a chance then apply now the link is available below.

NOTE: Before Filling out the Online Application form, read all the Mentioned Details Carefully and share this position.

Company: RippleCode

Position: AWS Cloud  Engineer

Experience: 4-8 years 

Location: Work From Home 

Salary:  Min 8-9 LPA (Expected)

Qualification:  Any graduate and PostGraduate

Batch: 2015 2016 2017 2018 2019 2020 2021 2022 

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Job Description

AWS Data Engineer Responsibilities:

• Evaluating, developing, maintaining, and testing data engineering solutions for

Data Lake and advanced analytics projects.

• Working closely with the US Clients.

• Implement processes and logic to extract, transform, and distribute data across

one or more data stores from a wide variety of sources

• Distil business requirements and translate them into technical solutions for data systems

including data warehouses, cubes, marts, lakes, ETL integrations, BI tools, or other


• Creation and support of data pipelines built on AWS technologies including

Glue, Redshift, EMR, Kinesis, and Athena

• Participate in deep architectural discussions to build confidence and ensure

customer success when building new solutions and migrating existing data

applications on the AWS platform.

• Optimize data integration platform to provide optimal performance under

increasing data volumes

• Support the data architecture and data governance function to continually

expand their capabilities

• Experience in the development of Solution Architecture for Enterprise Data Lakes

(applicable for AM/Manager level candidates)

• Should have exposure to client-facing roles

• Strong communication, interpersonal and team management skills

AWS Data Engineer Qualification Requirements:

• Bachelor’s Degree in Computer Science or a related technical field.

• Minimum 5 Years of Experience

• Excellent communication skills.

• Proficient in any object-oriented/ functional scripting languages: Java, Python,

Node etc.

• Experience in using AWS SDKs for creating data pipelines ingestion, processing

and orchestration.

• Hands-on experience in working with big data in an AWS environment including

cleaning/transforming/cataloguing/mapping etc.

• Good understanding of AWS components, storage (S3) & compute services


• Hands-on experience in AWS-managed services (Redshift, Lambda, Athena) and

ETL (Glue).

• Experience in migrating data from on-premise sources (e.g. Oracle, API-based,

data extracts) into AWS storage (S3)

• Experience in the setup of data warehouse using Amazon Redshift, creating Redshift

clusters and perform data analysis queries

• Experience in ETL and data modeling on AWS ecosystem components – AWS

Glue, Redshift, DynamoDB

• Experience in setting up AWS Glue to prepare data for analysis through

automated ETL processes

• Familiarity with AWS data migration tools such as AWS DMS, Amazon EMR, and

AWS Data Pipeline

• Hands-on experience with AWS CLI, Linux tools, and shell scripts

• Certifications on AWS will be an added plus.

How to Apply for this position?

Eligible and Interested candidates send their direct resumes to mentioned Email Id 

Candidates can send their resumes to

👉[email protected]

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By Admin

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