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Being a Technical Support Engineer for Cloud Stuff at Splunk sounds like an important gig. You’ll be the main person for fixing issues with our cloud products when tough problems pop up. Customers will look to you to make things right and keep our cloud tools running smoothly.
Job Description :-
Company Name | Splunk |
Job Role | Technical Support Engineer |
Qualification | Any Degree |
Experience | 2 Years Experience. |
Batch | Any Batch |
Location | Hyderabad, India |
CTC/Salary | INR 1,600,000 – 2,200,000 per year |
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:-
- Help fix problems when stuff breaks or doesn’t work right
- Figure out why something’s not working and how to get it up and running again
- Watch over the cloud to make sure everything’s humming along nicely
- Handle major issues and outages
- Talk to customers on calls and emails to solve their problems
- Write help articles so people can self-serve solutions
- Partner with engineering teams to improve cloud products
- Maybe write scripts to automate stuff using Python or Bash
- Use Splunk to analyze loads of data ( handy skill but not required)
- Know ITIL ideas to run cloud operations smoothly (also handy but not mandatory)
- Communicate well and be comfortable working with different folks
What You Do:-
- Fix tough cloud issues customers run into
- Be the go-to person when customers have questions or problems
- Work with engineering teams to squash bugs in products and make things better
- Keep detailed notes on customer issues and how you fixed them
- Write up how-to guides and training materials
- Watch how our cloud services are running and fix problems before customers notice
- Help get things back up quickly when outages happen and keep customers updated
- Give feedback on ways we can improve support tools and processes
- Constantly learn about new cloud technologies and Splunk offerings
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