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Hi everyone, I am 4.9 years experienced , I joined Fractal 3 months ago as a data engineer, but still haven't got any project. Process is so slow that I have received only 4 to 5 project calls. I switched in hopes that will learn the new tech and tools. But now i am starting to forget even the one i knew. Should i go for change or wait a little more time as fractal is reputed in AI/ML? I have interview lined up with Impetus as for now. Would it be better choice?
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Can I pl get help in SQL
Thank you
Hello everyone, I am Data Engineer with skills on Azure and am holding couple of offers KPMG Digital Lighthouse as Consultant : 12.5 LPA fixed +20% variable +1.25L bonus Tiger Analytics as SE : 14.5 fixed YOE : 4.1 years Can you please help me with which is better in terms of growth and WLB with your insights ? Tata Consultancy KPMG KPMG KPMG India Tiger Analytics
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Follow these preparation strategies below.
1.) Sql
2) Data modelling and data warehousing
3) DBMS concepts
4) problem solving skills , DSA is suggested (Python or Java or R )
5) distributed framework (Hadoop ,mapreduce, spark )
6) data warehousing tools or analysing Apache tools like hive, sqoop, hbase, impala, Cassandra
7) cloud technology (AWS or azure or gcp )
8) system design knowledge and their different theorem like cap, paclec and types of scalling of distributed system
Recommendation:
1 . Learn Hadoop architecture from https://youtube.com/playlist?list=PLdW3asq7z3KlWy24tinxPDM_ewIXbt0I2
Understand the spark architecture. Ask 2 question in every topic why they have designed framework like this what if it doesn't designed such a way . Relate with map reduce because spark replaced MR .
Start coding on leetcode or codechef or any coding platform .
Thanks.
From where to learn system design for data engineering
If you want to learn using Azure look into services like ADF , Databricks,Azure data lake,Storage container
https://www.youtube.com/playlist?list=PLMWaZteqtEaLTJffbbBzVOv9C0otal1FO