Company	Title	Experience	Annual Salary	School	Skills
Wipro Noida	Technical Lead	16.3yrs	Base: ₹30.0lakhs Stocks: - Bonus: ₹2.8lakhs CTC:₹32.8lakhs	Swami Vivekanand Institute of Engineering & Technology	Source Code Management: Ab Initio Technical Repository Etl Tools: Ab Initio (Gde, Eme, Tmrc) Business Rules Engine: Ab Initio, Express It Tools: Sql Loader, Sql Workbench, Sql Developer Programming Languages: Unix/linux, Shell Scripting Methodologies: Agile, Use Cases, Scrum/kanban Framework (Show More) Database: Teradata, Oracle Distributed Processing: Pyspark, Azure Databricks Azure: Azure Databricks, Azure Data Factory, Azure Blob, Azure Synapse, Delta Lake Cloud Development: Azure, Aws Customer Service Project Management Schema Design Data Architecture Etl Processes Data Science Big Data Technologies Data Engineering Hive Computer Science
Tata Consultancy Services Mumbai	Data Engineer	3.1yrs	Base: ₹10.6lakhs Stocks: ₹1.0lakhs Bonus: ₹1.0lakhs CTC:₹12.6lakhs	Dr. Babasaheb Ambedkar Technological University	Problem Solving Communication Information Technology Infrastructure Microsoft Office Microsoft Excel Python (Show More) Data Analysis Analytical Skills Business Analysis Data Modeling Etl (Extract, Transform, Load) Processes Database Management System (Dbms) Big Data Technologies Data Warehousing Cloud Platforms Data Security And Compliance Monitoring And Optimization Continuous Learning Data Loading
Cognizant Technology Solutions India Chennai	Senior Associate(Projects) Male	16yrs	CTC:₹16.0lakhs	Bharathidasan University	Business Intelligence Business Analytics Requirement Gathering Hadoop Data Analyst Client Interaction (Show More) Continuous Process Improvement Data Science Hive sql developer Data Analysis Big Data Technologies Senior Associate Requirement Analysis Python Big Data Analytics
Garniek Group IT Solutions Pune	Project Manager	14yrs	CTC:₹17.0lakhs	Symbiosis Centre For Management And HRD (SCMHRD) Pune University	Project Manager-IT/Software Project Management Software Development Data Warehouse Management SQL Service Integration Services Business Intelligence (Show More) SQL Server Analysis Services Big Data Technologies Data Governance Data Quality Jira Unix
Infosys Hyderabad	Data Scientist	8yrs	CTC:₹17.0lakhs	Acharya Nagarjuna University	Data Scientist seeking roles in Data Science Machine Learning Deep Learning Natural Language Processing NLP Computer Vision (Show More) Python R Data Mining Data Analysis Big Data Technologies AWS Azure Pattern Recognition Statistics & Probability Modelling
Future Group Bangalore	SDE-II (Big Data)	6yrs	CTC:₹20.0lakhs	R.G.T University	SDE-II Data Analyst Data Analysis Business Analysis Business Intelligence Big Data Technologies (Show More) Cloud Formation Serverless Architecture data warehouse Predictive Analytics Data Science Machine Learning Apache Spark Hadoop Hive Sqoop Kafka
Impetus Infotech Indore	Module Lead Software Engineer	6yrs	CTC:₹14.0lakhs	Govindram Seksaria Institute of Technical Studies	Java Web Services Spring MVC Spring LDAP Spring Security Spring Boot (Show More) SQL Algorithms Software Development Data Structures Big Data technologies Maven Jenkins Nexus Git Jira CICD Cryptography OAuth2 Computer Hardware JSP Servlets Java SQL shell scripting Data Structures Bigdata Technologies ETL System (Extract Transform Load) Spring (Core MVC Security LDAP AOP) ElasticSearch Kafka Apache ZooKeeper web services Rest JSP Servlets Filters Spark Structured Streaming Spark SQL Tomcat LDAP MySQL PostgreSQL Cryptography and SSL Maven Jenkins Nexus Repository Git Windows and Linux

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Frequently asked questions

How much do Big Data Technologies employees make?

Employees who know Big Data Technologies earn an average of ₹18.5lakhs, mostly ranging from ₹16.1lakhs per year to ₹32.0lakhs per year based on 7 profiles. The top 10% of employees earn more than ₹24.4lakhs per year.

What is the average salary of Big Data Technologies?

Average salary of an employee who know Big Data Technologies is ₹18.5lakhs.

What is the median salary offered who know Big Data Technologies?

The median salary approximately calculated from salary profiles measured so far is ₹17.0lakhs per year.

How is the age distributed among employees who know Big Data Technologies?

43% of employees lie between 26-31 yrs . 43% of the employees fall in the age group of 36-41 yrs .

Frequently asked questions

How much do Big Data Technologies employees make?

What is the average salary of Big Data Technologies?

Average salary of an employee who know Big Data Technologies is ₹18.5lakhs.

What is the median salary offered who know Big Data Technologies?

The median salary approximately calculated from salary profiles measured so far is ₹17.0lakhs per year.

How is the age distributed among employees who know Big Data Technologies?

43% of employees lie between 26-31 yrs . 43% of the employees fall in the age group of 36-41 yrs .

Salary Brackets

Percentage
10-20 lakhs	10-20 lakhs Percentage : 71
20-30 lakhs	20-30 lakhs Percentage : 14
30-40 lakhs	30-40 lakhs Percentage : 14

Age Brackets

Percentage
21-26 yrs	21-26 yrs Percentage : 14
26-31 yrs	26-31 yrs Percentage : 43
36-41 yrs	36-41 yrs Percentage : 43

Skills

Trending

big data technologies

100 %

data analysis

0 %

business intelligence

0 %

data science

0 %

hive

0 %

python

0 %

business analysis

0 %

Schools

Top

Acharya Nagarjuna University

14 %

Bharathidasan University

14 %

Dr. Babasaheb Ambedkar Technological University

14 %

Govindram Seksaria Institute of Technical Studies

14 %

Pune University

14 %

R.G.T University

14 %

Swami Vivekanand Institute of Engineering & Technology

14 %

Big Data Technologies Salaries

Average salary is ₹18.5lakhs.

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How much do Big Data Technologies employees make?

What is the average salary of Big Data Technologies?

What is the median salary offered who know Big Data Technologies?

How is the age distributed among employees who know Big Data Technologies?

How much do Big Data Technologies employees make?

What is the average salary of Big Data Technologies?

What is the median salary offered who know Big Data Technologies?

How is the age distributed among employees who know Big Data Technologies?

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