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Liven needs someone to help with their data. They want a junior data engineer. This could be good for recent grads or students. If you study computer science, math, or statistics, send in your resume. No work experience required. Liven wants to train the right person.
Job Description :-
| Company Name | Liven |
| Job Role | Junior Data Engineer |
| Qualification | Any Degree |
| Experience | Freshers |
| Batch | Any Batch |
| Location | Work From Home |
| CTC/Salary | Not Disclosed |
Tips to Prepare an ATS-Friendly Resume :-
– Use them same tech words from the job post in your resume – stuff like “data pipelines,” “Python,” “SQL,” all that.
– Show all your techie skills up front
– what code you know, what tools you use like Spark and Hadoop.
– Talk about class or side projects using real data tools. Show you did some hands-on work.
– Keep the format simple – standard sections like Skills, Experience. Don’t get too artsy or the robot won’t get it.
– Use numbers when you can – “processed 1 million records,” etc. Makes you look smart.
– Put any fancy certificates after your education. Certs help the robot see you got credentials.
– Start your bullet points with action words – “Built,” “Created,” “Designed.” Pumps things up.
– Save as Word or PDF. Use basic layouts and fonts the scanning-bot can read.
There you go! Polish up that resume and get applying. You got this!
Tips for acing the Junior Data Engineer job interview:-
*Do Show Off Your Techie Skills*
- Brush up on your SQL, Python, ETL, etc. Know your stuff when it comes to Spark, Hadoop, all those frames.
- Have some stories ready 'bout how you solved data problems before. Even class projects work!
*Do Show You Can Problem Solve*
- Prepare to answer questions 'bout pipelines, optimization, handling big data sets. Know your queries, structures, algorithms.
*Do Your Homework on the Company*
- Look into what data tools and stuff they use. Match your skills to what they got. Show how you can help!
*Do Practice Telling Stories*
- Get your STAR method down for behavioral questions - tell them Situation, Task, Action, Result.
*Don't Forget Soft Skills*
- It ain't all tech skills! Show you can explain data concepts simply and work on a team.
*Don't Be Vague on Experience*
- Get specific! Tell them the tools, problems, solutions, outcomes. The nitty gritty.
*Don't Neglect Company Fit*
- Yeah, they wanna know your tech chops, but also if you'll gel with the culture.
Eligibility / Qualification:-
- You should know your way around Databricks and some main AWS stuff like S3 and EC2. And be able to use data tools such as Spark.
- Have some basic programming chops in Python or Scala. Know a bit of SQL too.
- Get the basics of how data pipelines and ETL/ELT work. Be able to problem solve issues that pop up when processing data.
- Eager to learn new big data and cloud technologies and tools.
- Familiar with BI tools like Looker, PowerBI or Tableau that make data easy to look at and use.
- Ideally, you worked with restaurant or hotel data before.
- Know basics of Git for managing code with others.
- Maybe have beginner level AWS or Databricks certifications to show you know some cloud basics.
Roles And Responsibilities:-
- Help design, build, and fix pipelines to move and combine data. The senior data engineer will mentor you.
- Automate workflows to make data processes smooth. Blend different data sources.
- Manage and optimize our AWS setup (S3, EC2, etc) so data is stored and accessed securely and fast.
- Help run Databricks clusters, make Spark jobs run better, and fix issues so data processing works well.
- Work with the team to make sure data has high quality, security, and follows the rules.
- Provide clean, reliable data to data scientists and analysts for models, reports and more.
- Document everything clearly so everyone understands the data systems.
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My self nandini J and I completed degree