Pitney Bowes Off Campus Drive 2021 | Software Engineer | BE, B.Tech, ME, M.Tech | Apply Online

Pitney Bowes Off Campus Drive 2021 | Pitney Bowes has recruit BE, B.Tech, ME, M.Tech candidates for Associate Software Engineer | Apply Online @ official website | www.jobvision.in

Pitney Bowes Off Campus Drive 2021

Pitney Bowes Off Campus Drive 2021 : Pitney Bowes has to recruit candidates for Associate Software Engineer positios through off campus in Noida Uttar Pradesh . The candidates who are Finished in BE, B.Tech, ME, M.Tech Eligible to apply for this position. Applications are invited from eligible applicants.Therefore, those who are eligible and interested should apply online.If you are really wish to make your career with Pitney Bowes you can use this recruitment.

Here you will get the details for the post of Associate Software Engineer includes educational qualification, Job Description, selection process, salary details, Job Qualification and how to apply process. Visit our Today job (19.09.2021) section to get more latest Govt and Private updates on the daily bases.

Details Of Pitney Bowes Off Campus Drive 2021
Organization Name Pitney Bowes
Job Category Private jobs
Job Role Associate Software Engineer
Qualification BE, B.Tech, ME, M.Tech
Total Vacancy Various
Experience Needed 1+ Years
Job Location Noida , Uttar Pradesh
Salary As per norms
Apply Mode Online
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Apply Link Available below

About Pitney Bowes

Pitney Bowes : Pitney Bowes is a global technology company providing commerce solutions that power billions of transactions. The 1.5 million clients around the world, including 90% of the Fortune 500, rely on the accuracy and precision delivered by Pitney Bowes solutions, in the areas of ecommerce fulfillment, shipping and returns; cross-border ecommerce; office mailing and shipping; presort services; and financing.

Detailed Job Description For Pitney Bowes Off Campus Drive 2021

  • As a Associate Software Engineer – Big Data, you will be part of our Commerce Cloud Data And Analytics team which is the core Big Data Team for across BU’s within the company and is responsible for hosting and managing TBs of Data and providing Analytical and Data Science Solutions and deploying Data Science Models in production.
  • You will be contributing to Data Science & Analytics solutions for the company to achieve business outcomes and growth for the company.

Responsibilities :

  • Develop Framework for Data Science Model Lifecycle (Model Training, Scoring, Monitoring) & Deployment in production. You will be working closely with the Data Engineers & Scientist & SMEs across geographies for data science projects.
  • Developing and executing Frameworks for Data Science Model Automation.
  • Application Deployments via Automated CI/CD using Terraform/Ansible on AWS serviceslike EKS , Elasticbeanstalk ,Sagemaker , ECS etc.
  • ETL Jobs in Spark/Python on AWS EMR , ELT on Snowflake
  • Work with a highly integrated, cross-discipline agile team and will be responsible for building and supporting modern Big Data Engineering solutions leveraging Enterprise data lake across Commerce Services & Sendtech business units

Job Qualification and Skills Required For Pitney Bowes Off Campus Drive 2021

  • Software engineering experience in Python/Scala/Java or similar programming languages.
  • Scripting experience on Shell , AWS CLI etc.
  • Cloud Computing Concepts , preferably on AWS cloud with experience on any of the services like EC2 , S3 , Elasticbeanstalk etc
  • Data integration Tools like Snaplogic , Talend etc or any knowledge on Data Integrations .
  • Good analytical skills and interest in Data engineering , data exploration , data handling.
  • Technology agnostic & Flexibility to learn and adapt to new technologies.

Good to have:

  • Automation of ETL Jobs and orchestration using scripts, AWS data pipelines, workflows.
  • AWS data streaming and big data technologies such as Amazon Kinesis, Managed Kafka, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS)
  • UG - B.Tech/B.E. OR PG – M.S. / M.Tech from REC or any other reputed institute
  • 1 years of Experience on any of AWS Services like EC2 , EMR , Sagemaker , S3 , Lambda
  • 1 year experience on Big Data Ecosystem

Documents to be Carried for Pitney Bowes Off Campus Drive 2021

How To Apply For Pitney Bowes Off Campus Drive 2021

  • Eligible candidates are advised to open online Apply Link ( Link given bellow).
  • This link open new tab on your browser
  • Read carefully above page and find apply button in this page
  • Fill all your academic qualification, skill experience and other mandatory details.
  • Upload your resume.
  • Check the details before submitting.
  • If you are shortlisted it will be shared through e-mail or phone call
  • interview and Venue details also will be shared to shortlisted candidates through e-mail.
  • Latest Updates : Today job (19.09.2021)
  • Join whatsapp (fast updats) : Click Here
  • Join Telegram (fast updats) : Click here
  • E-mail job Alert: Click here
  • Note : Apply Before the link Expires

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Pitney Bowes Off Campus Drive 2021 – Frequently Asked Questions

✅ Pitney Bowes this hiring for which position ?

Pitney Bowes hiring candidates for Associate Software Engineer position

✅ What is the Educational Qualification to apply for Pitney Bowes Off Campus Drive 2021 ?

BE, B.Tech, ME, M.Tech Candidates are eligible to apply for this Position. Refer the Official Notification to get more details about detailed qualification and Experience needed for this post

✅ What is the salary limit for this position ?

the salary limit is not mentioned in the “Official Notification”. As per norms

✅ What is the Expriance needed for apply to this post ?

1+ Years candidates can apply for this position. Refer the official notification to get mode details about Expriance and skils needed for this post

✅ What is the job location for Pitney Bowes Off Campus Drive 2021 ?

The Job location for this post is Noida , Uttar Pradesh

✅ What is the Last date to apply for this post ?

There is not mentioned last date to apply Note : Apply Before the link Expires

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