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Hi fishes,
Need your opinion.
Working for Wipro as azure data engineer in Spark, Hive, Azure ADF, ADB etc.
Current CTC: 17.5 LPA
Total YOE: 11 years
Relevant exp in big data: 6 yrs
Relevant exp in Azure: 2+ yrs
Got offer from Atos of 26.4 LPA. Is this a good offer? or Shall I search other job at 30+ LPA?
Getting calls from some product companies like JPMorgan Chase Chubb. How much can I expect from these product companies?
Wipro Infosys Tata Consultancy IBM Capgemini Cognizant Accenture India
McKinsey & Company Hi guys,
Please help me with the referral.
Senior/Lead data Engineer
Exp -- 8.5 years
Notice period -- 30 days
Tech stack -- Big data,Hadoop, Spark, Kafka, Azure,Python,Scala,Sql
Please ping your email id .I will share the Cisco" class="linkified" target="_blank" rel="nofollow" >resume.Cisco Target Bosch Intuit Amazon McKinsey & Company Indeed Flipkart JPMorgan Chase Morgan Stanley VMware Intel Corporation Hewlett Packard Enterprise Paypal Salesforce
Hello All, In the next couple of months i am targeting companies like Apple , American express, Salesforce, Microsoft etc. Can anyone please share the required skill set and preparation strategy for these companies? YoE - 4 years Current skill set - Advanced SQL , Pyspark,Azure services, Hadoop ecosystem , shell scripting, Power BI
I am not very good at DSA.
Apple Microsoft Salesforce Amazon
After 2 rounds of interview (1 hour each) , Deloitte usi hr is telling me that due to organisational restructuring the offers are on hold. Got a salary discussion call last Thrusday (no pre hire survey) . Last working day in a week. Any suggestions? Cloud Data engineer CBO unit Deloitte Deloitte USI
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I have experience in both.....
It totally depends on the quality of work for example if you are just maintaining and running airflow's dag it's not helpful for learning vice versa in synapse just copying excel and making easy queries is also not helpful......
So make sure you know your responsibilities and if still it's confusing go for spark and airflow....
I would go with development..... ADF and Synapse are not bad and if they are planning to have a data lake .... databricks might come into the picture which will give you experience on pyspark as well....If you have time to learn and early in your career ..... focus on development and learning I would suggest
How much they are offering?
Pyspark and airflow
Go with the one with WLB
Spark will have some coding too..but it seems better
Spark will have some coding too..but it seems better