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The main goal is getting stuff done and making sure it matches what the business needs. You'll work real close with the Scrum and program folks to test, build, tweak and ship good software regularly using Agile ways of working. Part of the gig is coaching others on the Scrum team to hit our targets.
At the end of the day, it's about delivering ambitious goals iteratively and rapidly without compromising quality or sustainability. The team should be jazzed and engaged each sprint, feeling purpose and autonomy while working within the guardrails.
Job Description :-
| Company Name | Nielsen |
| Job Role | Backend Engineer (.Net/Java/Python) |
| Qualification | Any Degree |
| Experience | 0-3 years |
| Batch | Any Batch |
| Location | Bangalore, 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:-
- 3 years of working on software or a college degree. Handling code and programs.
- Building things with languages like C#, Java, Python, or others. Know SQL too.
- Experience with tools that manage workflows is good. Apache Airflow or similar.
- Understand Windows and Linux systems. Write scripts and commands.
- Know Java and Spring boot/cloud. These help build apps.
- Use Agile and scrum to develop apps.
- Work with databases like SQL Server and Oracle.
- Automate deployments. Set up pipelines to release code.
- Gitlab or Bitbucket are plusses.
- AWS programming certification could help.
- Quickly learn phone systems for interviews.
What You Do:-
- Build stuff that works everywhere – both in the cloud and on regular computers
- Know new stuff but also be able to work with old stuff
- Recognize when the plan needs to change so things get built right
- Understand how testing works and how to do it well
- Help other teams plug their cloud stuff together
- Quickly spot issues cropping up and fix them
- Work with the data science peeps to get their methods into the engineering mix
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