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8.7 yr yoe, how can I negotiate with hcl ?@hcl
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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
I am working as data engineer at Accenture with 2 YOE with ctc of 11LPA. After clearing all the technical rounds at Impetus technologies, tomorrow I have my HR discussion. She told she can't give more than 16 LPA. What should i do? How much should i ask? I am expecting somewhere around 19-20 LPA. Can anyone pls help. Accenture Impetus technologies inc
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
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I have prepared this road map with my own suggestion and took help of chatgpt to frame it better.
1. Foundations
SQL: Advanced joins, window functions, CTEs, query optimization.
Python: pandas, data manipulation, scripting.
======
2. Data Engineering Core
Data Warehousing: Concepts like partitioning, clustering, and sharding.
ETL / ELT:
Orchestration: Airflow.
Transformation: PySpark.
=====
3. Cloud & Infrastructure
Most Data Engineering work is cloud-native. Focus on one cloud provider depending on your target companies:
GCP: BigQuery, Dataflow, Pub/Sub, Composer, Dataproc, GCS.
AWS: S3, Redshift, Glue, EMR, Kinesis, Lambda.
Azure: Data Factory, Synapse, Databricks.
====
Project Preparation
Once you’ve covered the above topics, frame your current project (or build a simple new one) as a data engineering project for interviews.
Use ChatGPT to refine the project explanation and prepare for likely follow-up questions.
Keep your project simple and clear, as complex ones often invite tricky, deep-dive questions.
=====
Interview Preparation
Project Discussion: Be ready for detailed questions on architecture, tools, and trade-offs.
SQL & Python: Expect advanced SQL (joins, window functions, CTEs) and at least 1–2 coding questions in SQL/Python.
Question Bank: Collect commonly asked Data Engineering interview questions from LinkedIn and other sources to practice.
=====
Notice Period Strategy
If you have a 90-day notice period, set your notice period as 30 days on Naukri and start applying.
Some companies do hire candidates with 90-day notice, but they are more likely to contact you early if you show 30 days.
Give as many interviews as possible — the more you interview, the better your chances of landing an offer.
Thank you so much 😊 you really helped me alot with this message
Which cloud you want handson
For gcp, use your company email for hands on lab exercises on their partner skill website
U need to be good in sql for interviews at least. Without strong sql, u can't go for pyspark