Learn about the different Job Profiles in Big Data and Why is Big Data the best career move? Learn Big Data from StackDataLabs and get certified by the Professionals!
1. Job Profiles & Future Scope of
Big Data
Stack Data Labs - Immersive Training Provider
2. Introduction
● In the past few years, there is an increase in job
profiles in Big Data.
● Big data is hot and it's unlikely that this will
change in the near future.
● Companies’ have increased their focus on
acquiring Big Data talent with the creation of a
whole new set of Big Data roles and titles.
3. Trends in Big Data 2017
● Big Data becomes fast and approachable.
● Spark and Machine Learning light up big data.
● Convergence of IoT, Cloud and big data creates
new opportunities for self-service analytics.
4. Trends in Big Data 2017
● Self-service data prep becomes mainstream as end
users begin to shape big data.
● Big data no longer just Hadoop.
● Big Data grows up, Hadoop adds to Enterprise
standards.
6. Data Scientist
● A data scientist is as rare as a unicorn and gets to
work every day with the mindset of a curious data
wizard.
● He/she masters a whole range of skills and talents
going from being able to handle the raw data,
analyzing that data with the help of statistical
techniques, to share his/her insights with his peers in
a compelling way.
7. Responsibilities of Data Scientist
● Selecting features, building and optimizing classifiers
using machine learning techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third party sources of
information when needed
8. Responsibilities of Data Scientist
● Enhancing data collection procedures to include
information that is relevant for building analytic
systems
● Processing, cleansing, and verifying the integrity of
data used for analysis
10. Data Analyst
● Just like the data scientist, the skills and talents that
are needed for this role are diverse and range the
entire spectrum of the data science process combined
with a healthy “figure-it-out” attitude.
● Languages like R, Python, SQL and C are elementary
to him/her.
11. Responsibilities of Data Analyst
● Analytical Skills: Data analysts work with large
amounts of data.You will need to see the data and
analyze it to find conclusions.
● Communication Skills: Data analysts are often called
to present their findings, or translate the data into an
understandable document.
12. Responsibilities of Data Analyst
● Critical Thinking: Data analysts must look at the
numbers, trends, and data and come to new
conclusions based on the findings.
● Attention to Detail: Data is precise. Data analysts have
to make sure they are vigilant in their analysis to come
14. Data Engineer
● The data engineer often has a background in software
engineering and loves to play around with databases
and large –scale processing systems.
● Every role is different, though, so some may require
more specialized knowledge in one of these areas
over the others.
15. Responsibilities of Data Engineer
● Data Analysis: Are you a pro with MapReduce, Hadoop
or even data mining? In addition to processing data,
you may also need to know more specialized
techniques like machine learning or even statistical
analysis.
16. Responsibilities of Data Engineer
● Data Warehousing: Are you familiar with large data
stores? Do you know how to get data in or take data
out?
● Data Transformation: Sometimes data needs to be
changed or transformed into a different format in
17. Responsibilities of Data Engineer
● Data Collection: You have to crawl before you can
walk. Crawling the Web or extracting data from an
existing database or API are common chores for Big
Data engineers.
19. Database Administrator
● Database Administrator makes sure that the database
is available to all relevant users, is performing
properly and is being kept safe.
● A Database Administrator makes sure that all backup
and recovery systems are in place, and keeps track of
the different technologies that are being used.
20. ● Implement, support and manage the corporate
database.
● Design and configure relational database objects.
● Are responsible for data integrity and availability.
Responsibilities of Database Administrator
21. ● Ensure database security, including backups &
disaster recovery.
● Plan and implement application and data provisioning.
Responsibilities of Database Administrator
23. Data Architect
● The person in this role creates the blueprints for data
management systems to integrate, centralize, protect
and maintain the data sources.
● The data architect masters technologies like Hive, Pig,
and Spark, and needs to be on top of every new
innovation in the industry.
24. Responsibilities of Data Architect
● Determines database structural requirements by
analyzing client operations, applications, and
programming; reviewing objectives with clients;
evaluating current systems;
● Prepares users by conducting training.
25. ● Develops database solutions by designing proposed
system; defining database physical structure and
functional capabilities, security, backup, and recovery
specifications.
● Installs database systems by developing flowcharts.
27. Data & Analytics Manager
● A data analytics manager steers the direction of the
data science team and makes sure the right priorities
are set.
● This person combines strong technical skills with a
diverse set of technologies (SQL, R, SAS, …) with the
social skills required to manage a team.
28. Responsibilities of Data &
Analytics Manager
● Suggest an area for and methods of improving
operations.
● May collect and analyze external market data to
provide benchmarks for comparison purposes.
29. Responsibilities of Data &
Analytics Manager
● Demonstrates expertise in a variety of the field's
concepts, practices, and procedures.
● Presents reports to management for use in decision
making and strategic planning.
31. Business Analyst
● The business analyst is often a bit different from the
rest of the team.
● While often less technically oriented, the business
analyst makes up for it with his/her deep knowledge
of the different business processes.
32. Responsibilities of Business Analyst
● Assisting with the business case
● Planning and monitoring
● Eliciting requirements
● Requirements organization
34. Statistician
● Although often forgotten or replaced by fancier
sounding job titles, the statistician represents what
the data science field stands for: getting useful
insights from data.
● Statisticians can handle all sorts of data
35. Statistician
● With his/her strong background in statistical theories
and methodologies, and a logical and stats oriented
mindset, he/she harvests the data and turns it into
information and knowledge
36. Responsibilities of Statistician
● Apply statistical theories and methods to solve
practical problems in business, engineering, the
sciences, or other fields
● Decide what data are needed to answer specific
questions or problems
37. Responsibilities of Statistician
● Design surveys or experiments or opinion polls to
collect data
● Collect data or train others to do so
● Analyze and interpret data
● Report conclusions from their analysis
39. Why is Big Data the best career move?
● Soaring Demand for Analytics Professionals
● Huge Job Opportunities & Meeting the Skill Gap
● Huge Salary Aspects
● Big Data Analytics: A Top Priority in a lot of
Organizations
40. Why is Big Data the best career move?
● Analytics: A Key Factor in Decision Making
● The Rise of Unstructured and Semistructured Data
Analytics
● Big Data Analytics is Used Everywhere!
41. For more Info or Training
Contact us:
https://www.stackdatalabs.com
www.stackdatalabs.co
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