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Big Data Developer
Career Path:
Job Opportunities &
Interview Preparation

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01
Why Choose
Big Data?
04
Resume Building:
Big Data
02
Big Data:
Learning Path
03
05 06
How to get
Started?
Job Profiles:
Big Data
Sample Interview
Questions
Agenda

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Why Choose
Big Data?

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Why Choose Big Data?
In today’s day and age, Data is the most
valuable commodity for commercial success
Data is fast and
continuous
Data is
voluminous
How do we extract value out of Data?
Big Data Analytics

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Why Choose Big Data?
“Data Analytics”

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Why Choose Big Data?
“By 2020, augmented analytics will be a
dominant driver of new purchases of analytics
and business intelligence”

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Why Choose Big Data?
Business Intelligence is MANDATORY
for commercial success

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Why Choose Big Data?
Competitive Customer Satisfaction is
driven by Analytics

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Why Choose Big Data?
Large Amounts of rapidly and
continuously generated Data warrant
Big Data Analytics

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Why Choose Big Data?
The usage of AI/ML to derive faster
and more efficient insights from Data

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Why Choose Big Data?
All major organizations implement Big Data

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Why Choose Big Data?
$ 107,000 ₹ 10 Lakh £ 67,500
Average Salary of a Big Data Developer

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Why Choose Big Data?
It’s a Stamp of
Excellence
Helps you get
Hired
Substantial Increase in
Pay
Clear Corporate
Requirements
Knowledge + Projects
Importance of a Certification

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Big Data:
Learning Path

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Big Data: Learning Path
Basics of Mathematics
and Statistics
Basic Programming
Big Data Technologies
Database
Technologies
Data
Visualization

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Job Profiles:
Big Data

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Job Profiles: Big Data
• The usage of advanced computerised models for data
extraction
• Cleaning of data
• Analysis to assess the Quality of Data
• Further Analysis to determine the Meaning of Data
• Final Analysis of Data to determine whether Data is accurate
and fit for further modelling
• Preparing reports based on this data and Visualizing it for
upper management
Typical Sectors:
● Banking
● Software Dev
● Consultancy
● Telecom
● Social Media
● Academic
● Pharma

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Job Profiles: Big Data
Who you are:
• You know how to scope and solve loosely defined problems and come up with actionable
insights to guide product development decisions
• You have a deep understanding of statistics and experience working with real-world data,
as well as a strong business sense
• You have the technical competence to perform advanced analytics: coding skills (such as
Python or Scala), experience with analytics tools (Pandas, R, SPSS or SQL) and experience
performing analysis with large datasets
• You possess statistical competence (such as regression modelling, a/b testing, significance
testing etc)
• Have demonstrated experience with hands-on statistical modelling and possess knowledge
about machine learning (such as predictive modelling, decision trees, classification models,
clustering techniques)

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Job Profiles: Big Data
Responsibilities:
• Use contemporary data science and analytics methods and tools to derive actionable
business insights
• Master big data fundamentals: gather, clean, and validate large amounts of data on Nike’s
cloud platform
• Create foundational pipelines and repeatable production queries in our data warehouse
to analyze large sets of internal data on billions of consumer interactions
• Develop processes and continuous improvement of core projects through automation
and process enhancement
• Create reports and visualizations of core app features and marketing campaigns to help
communicate technical results and concepts to a non-technical audience

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Resume Building:
Big Data

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Resume Building: Big Data
Data VisualizationData Querying Data Analysis
Projects and Experience in these domains
make you highly favorable in the Big Data
market!
Big Data Architecture

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Sample Interview
Questions

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Sample Interview Questions
What are the five V’s of Big Data?
How is big data analysis helpful in increasing
business revenue?
How would you transform unstructured data
into structured data?
Which hardware configuration is most beneficial
for Hadoop jobs?
What happens when two users try to access the
same file in the HDFS?

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How to get started?

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Further Learning

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Further Learning

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India: +91-7847955955
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