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With enterprise architecture services, you can support your clients in setting their technology objectives, identifying suitable solutions on which to focus, and creating architectural solutions that help both achieve strategic goals and meet operations requirements.
Job Description :-
| Company Name | PwC |
| Job Role | Java Fullstack |
| Qualification | Any Degree |
| Experience | 0-2 Years |
| Batch | Any Batch |
| Location | Gurugram India |
| CTC/Salary | Not Disclosed |
Tips to Prepare an ATS-Friendly Resume :-
Getting your resume noticed by the Applicant Tracking System is super important if you want employers to actually see it. I’ll give some tips to help make your resume look good to the computer system if you’re applying to be a Data Scientist.
1. Keep it simple. Don’t use crazy fonts, tables, or anything too wild. Stick to basics like clear section headings (“Skills,” “Experience”).
2. Load up on keywords. Pull words right from the job description – Python, Machine Learning, whatever. Show you have the technical and people skills they want.
3. Use normal job titles. “Data Scientist” or “Analyst,” not “Future CEO.”
4. Put key info in the body text. No footers! Recruiters might not see em. Keep your name, address, LinkedIn front and center.
5. Save as a .docx or .pdf file. Make sure the pdf isn’t an image or anything weird. Give it a professional name too like “FirstName_LastName_Resume”.
6. Show you got the right background. Internships, projects, anything to prove you can handle a Data Science job. Numbers help – “improved model by 15%” tells em you get results.
7. Use bullet points, not paragraphs. Easier to scan.
8. Show off certifications and schoolin’. DataCamp, Coursera courses, a math/CS degree – make em shine! 9. Nix the images and logos. Recruiters tech can’t handle em.
10. List technical skills first. Python, R, SQL – they wanna see you have these specifically.
11. Check for typos! Sloppy resumes might get tossed by the robot gatekeepers.
12. Test it out first. Free online tools can scan your resume before you submit to catch issues.
Follow this advice and you’ll be all set to pass the ATS recruiters and get that interview!
Tips for acing the job interview:-
Do’s:
– Look into the company and the stuff they need help with.
– If you don’t get something, ask them to explain More.
– Walk them through how you think about fixing problems.
– Use real examples from past work to show your skills.
– Stay calm and confident. Work through problems slowly, even if you aren’t sure.
Don’ts:
– Don’t guess if you aren’t sure. Explain your thinking.
– Keep your answers simple and clear.
– Remember to talk about teamwork, communication, and problem fixing.
– Take your time to think before answering.
– Ask good questions to show you care about the job and team.
Eligibility / Qualification:-
- 1. BS or above in CS or related field
2. 0-2 years of industry experience in relevant technologies.
3. Strong CS foundation (data structures, algorithms, database, distributed systems).
4. Expertise in Java software development – Minimum
Java 8 and Java 11 is a plus.
5. Strong skills spring boot
6. Ability to develop REST APIs
7. General knowledge of SQL
8. General knowledge of MongoDB
9. Hands on with AWS
10. Container technologies experience: e.g., Docker, Kubernetes
Cloud Foundry, or Hashicorp Nomad/Consul/Vault.
11. Agile methods software engineering : with agile methodologies, coding standards, code reviews, source control management, build processes, test automation, and CI/CD pipelines.
12. Knowledge to shift the code from Dev/ Test to Staging and
Production. Troubleshoot the issues across the CI/CD pipeline.
13. Knowledge in the Solid project & client
14. Outstands Excellent client communication skills
What You Do:-
- Designing and developing Java-based applications on the Spring Boot framework to test them for maximum performance and response time.
- Building and maintaining RESTful APIs. Maintaining SQL and NoSQL databases such as an example database, MongoDB. Ensuring efficient data storage and retrieval
- Application deployment and management in the AWS cloud. Following container technologies such as Docker and Kubernetes to enhance productivity and scalability. Agile methodologies, development standards, code reviews, CI/CD pipelines.
- Identify and solve problems at all points of the CI/CD pipeline with smooth handoff from dev to prod.
- Communicate with clients and gather requirements, update the client regarding the project completion status, and receive their satisfaction while working with team members to complete project goals.
- Implemented messaging and streaming systems using Kafka; enhanced search functions using Elastic Search; and assisted in front-end development by gaining an understanding of the basics of React, fixing minor UI bugs.
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