Salary Profiles
Company
Title
Experience
Annual Salary
School
Skills
Citi
Pune
5.8yrs

Base: ₹29.9lakhs

Stocks: -

Bonus: -

CTC:₹29.9lakhs

Senior Data Engineer (Senior/Associate)
6yrs
HSBC
Pune
4.1yrs

Base: ₹14.5lakhs

Stocks: -

Bonus: -

CTC:₹14.5lakhs

5yrs

Base: ₹17.0lakhs

Stocks: -

Bonus: -

CTC:₹17.0lakhs

Wipro
Pune
7.8yrs
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KPMG
Pune
6.7yrs

Base: ₹15.4lakhs

Stocks: -

Bonus: ₹1.5lakhs

CTC:₹16.9lakhs

Databases Databricks Data Services Cloud Consulting Amazon Web Services (Aws) Sql (Show More) Google Cloud Platform (Gcp) Pl/sql Mainframe Agile Methodologies Cloud Computing Google Kubernetes Engine (Gke) Linux Java Mysql Git Jenkins Docker Products Job Control Language (Jcl) Docker Swarm Terraform Big Data Analytics Kubernetes Sql Db2 Data Analytics Data Engineering Bash Requirements Analysis Requirements Gathering Software Development Software Development Life Cycle (Sdlc) Extract, Transform, Load (Etl) Big Data Python Scrum Jira Microsoft Sql Server Data Migration Data Manipulation Unix Microsoft Excel Data Warehousing Data Architecture Database Administration Bigtable Google Bigquery Cloud Storage Hbase Nosql Ibm Db2 Ibm Mainframe Engineering Data Management Google Cloud Dataflow Agile & Waterfall Methodologies
3.7yrs

Base: ₹11.6lakhs

Stocks: -

Bonus: -

CTC:₹11.6lakhs

12.1yrs

Base: ₹40.2lakhs

Stocks: -

Bonus: -

CTC:₹40.2lakhs

Data Engineering Real Time Streaming Data Science Consulting Cloud Migration Aws Sagemaker Ai Solutions (Show More) Deep Neural Networks (Dnn) Machine Learning Tensorflow Computer Vision Data Analysis Reporting & Analysis Business Analysis Business Process Segmentation Forecasting Extract, Transform, Load (Etl) Shell Scripting Data Visualization Functional Requirements Big Data Deep Learning Google Cloud Platform (Gcp) Amazon Web Services (Aws) Sql Pandas Docker R Python Vba Pyspark Google Bigquery Hadoop Mailchimp Git Recurrent Neural Networks (Rnn) Presentation Skills Team Leadership Stakeholder Management Stakeholder Engagement It Infrastructure Management Kubernetes Openshift Google App Engine Consultation Google Api Mailchimp Api Data Analytics Recommender Systems Machine Learning Algorithms Convolutional Neural Networks (Cnn) Object Detection Long Short-term Memory (Lstm) Gru Opencv Artificial Intelligence (Ai)
UST
Pune
7.5yrs

Base: ₹30.9lakhs

Stocks: -

Bonus: -

CTC:₹30.9lakhs

16yrs

CTC:₹23.0lakhs

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Frequently asked questions
How much do Google Bigquery Pune employees make?

Employees who know Google Bigquery in Pune earn an average of ₹27.9lakhs, mostly ranging from ₹16.9lakhs per year to ₹60.6lakhs per year based on 11 profiles. The top 10% of employees earn more than ₹49.2lakhs per year.

What is the average salary of Google Bigquery Pune?

Average salary of an employee who know Google Bigquery in Pune is ₹27.9lakhs.

What is the median salary offered who know Google Bigquery in Pune?

The median salary approximately calculated from salary profiles measured so far is ₹23.0lakhs per year.

How is the age distributed among employees who know Google Bigquery in Pune?

This group has a predominantly younger workforce. 55% of employees lie between 26-31 yrs . 18% of the employees fall in the age group of 21-26 yrs .

Frequently asked questions
How much do Google Bigquery Pune employees make?

Employees who know Google Bigquery in Pune earn an average of ₹27.9lakhs, mostly ranging from ₹16.9lakhs per year to ₹60.6lakhs per year based on 11 profiles. The top 10% of employees earn more than ₹49.2lakhs per year.

What is the average salary of Google Bigquery Pune?

Average salary of an employee who know Google Bigquery in Pune is ₹27.9lakhs.

What is the median salary offered who know Google Bigquery in Pune?

The median salary approximately calculated from salary profiles measured so far is ₹23.0lakhs per year.

How is the age distributed among employees who know Google Bigquery in Pune?

This group has a predominantly younger workforce. 55% of employees lie between 26-31 yrs . 18% of the employees fall in the age group of 21-26 yrs .

Salary Brackets
10-20 lakhs: 45%20-30 lakhs: 18%30-40 lakhs: 9%40-50 lakhs: 9%> 50 lakhs: 18%
  • 10-20 lakhs
  • 20-30 lakhs
  • 30-40 lakhs
  • 40-50 lakhs
  • > 50 lakhs
Age Brackets
21-26 yrs: 20%26-31 yrs: 60%31-36 yrs: 10%36-41 yrs: 10%
  • 21-26 yrs
  • 26-31 yrs
  • 31-36 yrs
  • 36-41 yrs
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