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I want to earn good money without compromising on WLB.
This is my profile
1 year at a Fintech firm in Product role (Current Role) in Gurgaon
1 year at PwC as Consultant 1
MBA (Finance) grad Skills: SQL, Excel, Power BI, Client Issues, Jira for bug reports and tracking team activities, etc.
Any companies that anyone can suggest? Any other skills that I should pick up? Current base pay is 10 LPA. I feel a bit underpaid.
Want to stay in similar business analyst, product analyst roles.
Newco
Hello Mastercard employees. I have been trying to break into MC for long now.
I have 2 yrs workex post MBA. I have experience in data analysis and consulting. But I don't want to get into consulting anymore. I am looking for analytics roles. Anyone here would be able to DM and guide me on the available options at Mastercard?
Location: Gurgaon
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Accenture Hello, this past December I applied to a Devops role at Accenture. I didn’t get the position but I looked on their website and noticed they have an software engineer apprenticeship. I emailed the recruiter about the apprenticeship but she didn’t get back to be. But after telling me I didn’t get the position she did say to wait six months to apply for another position. I really think I would be a good fit for the apprenticeship. What can anyone recommend? Can I possibly get a referral.
Got offer from JPMorgan Chase , but variable pay percent was not mentioned in it. HR told it will be around 10-12% . Is it true? It's for VP/602/Commercial Banking? How much we variable pay will get annually? Can someone help as based on this only in have to decide whether, I can go with counter offer or not?
Is anyone hiring anyone over 50?
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today I choose violence

Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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ETL
I would recommend picking an ETL tool first, then doing training for that tool. If you’re not sure what ETL tool to learn you may want to pick a company that you aspire to work for, look at the data engineer job description for that company, and focus on learning the ETL tools listed in the job description.
Some ETL tool examples at SAP Data Services, Apache Airflow, Microsoft SSIS, and AWS Glue.
Pick a cloud provider and learn about their data ingestion,storage, processing offerings. For ex: if AWS make yourself aware of Kinesis, Glue, S3, EMR,Redshift etc. Knowing Spark in and out will be really beneficial.
If I can ask, Why do you want to move from cloud & DevOps to data engineering? Any specific reasons
Thank you. Just to learn something new and add new skills :)