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Micron Technology is a global leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence and inspires the world to learn, communicate and advance faster than ever.
Job Description :-
| Company Name | Micron |
| Job Role | Associate Data Engineer |
| Qualification | Any Degree |
| Experience | Fresher/Eperienced |
| Batch | Any Batch |
| Location | Hyderabad, Telangana, 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:-
- Understanding of Big Data Engineering/processing, Business Intelligence, Advanced analytics
- Knowledge on ETL/ELT Design and processes
- Knowledge in databases and Datawarehouse modeling
- Knowledge in Cloud based data engineering and Machine Learning Models
- Knowledge in building APIs for application integration
- Knowledge on Software development life cycle process. e.g. Agile and Waterfall.
- Configure processes and define the required transformations to move both structured and unstructured data from the source to a new physical Data Model.
- Work with Data Scientists to implement strategies for data cleaning and preparation for analysis; develop algorithms for imputing data; and optimize performance of big data and machine learning systems.
What You Do:-
- You’ll work in a fast-paced and dynamic work environment.
- Highly motivated and self-driven individual with minimum supervision.
- Adapt to new technologies and learn quickly.
- Have an actual passion for data and information, with strong analytical, problem-solving, and organizational skills.
- Work in multi-functional groups with varied interests and needs for a common target.
- Excellent communication through written, verbal, and presentation within the distributed teams.
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