Discover the career opportunities in Big Data

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The 5 Big Data professionals most sought after by companies

The field of data and Big Data generated 6000+ jobs in recent 2019-2020. The demand for these profiles has grown by 17% compared to 2015. At an international level, the need for experts in Big Data and Digital Analytics will increase by 28% this year.

1. Data Analyst

A data analyst discovers how data can be used to draw conclusions and solve problems that arise in an organization. A data Analyst is responsible for acquiring, processing, and synthesizing data, analyzes and evaluates the quality of the data, its meaning and usefulness, and then presents it to managers through reports. It also defines the analytical and data visualization models according to the needs of a company. Work in this field does not stop growing. In 2008, a mere 245 to 6000+ job offers in 2020. The data analyst is most in-demand in companies related to health care, travel and the Information Technology industry.

Main skills and knowledge required:

Bachelor or Degree in Statistics, Mathematics or Engineering (technical or higher).

Average salary

$70000 gross per year for professionals with less than six years of experience.
$88000 for those who have more than ten years working in this area.

2. Data Scientist

Among the profiles most in-demand in the future, the Data Scientist stands out in second place, according to the study of most demanded positions and skills. This profile is most requested in companies related to search engines, financial services and electronic commerce. A Data Scientist develops novel analytical methods with complex mathematical algorithms, based on statistical programming and Machine Learning.

Main skills and knowledge required:

Certified and in-depth knowledge of Big Data and Data Science.
Knowledge of statistical software and programming and analysis system for massive data such as Machine Learning, Python, R, Deep Learning, Oracle, SAS or R; as well as SQL
Ability to communicate logic and intuition
Knowledge of data extraction, cleaning and modelling

Average Salary:

$35000 gross per year for professionals with less than two years of experience.
$113,436 for those who have 5+ years’ experience in this area, according to data from the Glassdoor.

3.Chief Data Officer (CDO)

CDO is the person in charge of the data of a company, both in the technological field and in its application to the business, including security. CDO decides what data, how and for what it is used, validates the technologies used, ensures that the transformation they undergo and which users use it is known at all times, and is aware of the business application that has to make use of this data.

This will be a crucial position in more than 75% of large companies in 2021, according to the study Forecast: Enterprise Software Markets, Worldwide, by the consulting firm Gartner.

Main skills and knowledge required:

Communication, planning and comprehensive project management skills
Teamwork & Customer orientation
Analytical capacity
Latest Big Data trends

Average Salary:

CDOs can earn up to $1, 17,669.00 gross per year with 2-5years of experience.
$ 60,000 and $ 70,000 gross per year for people under less experience levels.

4. Architect or Data Arch

An Architect ensures the proper functioning of the platforms and hardware that contain the data. Therefore, they must be a person trained in programming and hardware, as well as in cybersecurity, since maintaining data security is also within their functions.

Main skills and knowledge required :

Experience to handle unstructured data technologies such as Hadoop, Spark or Cassandra, among others.
Knowledge of distributed and functional programming languages such as Java/Scala, SQL and Python.
Knowledge of databases such as Oracle and Postgre SQL

Average Salary

$1, 10000 gross per year with 2-5 years of experience.
60,000 and 70,000 $ gross per year for beginners to less than 2 years’ experience.

5. Big Data Architect or Big Data Architect

The Big Data architect or engineer directs the design and implementation of solutions to manage large volumes of data based on the needs of each company. Given that more and more organizations handle an infinity of data, this will be one of the most requested profiles in the coming years.

Main skills and knowledge required :

Experience in designing Business Intelligence, Advanced Analytics and Big Data solutions, as well as in software development
Advanced expertise in Apache Hadoop, Spark, HBase, Kafka, Impala and Hive.
Experience and knowledge of relational databases: MySQL and PostgreSQL; as well as non-relational: MongoDB and Cassandra
Experience in using data processing tools: ETL (Kettle), Pentaho; as well as cloud environments: AWS
Multitasking skills, teamwork, communication and creativity

Average Salary

The Big Data architect or engineer has a salary band of between $50,000 and $ $140000 gross per year.

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  • URLConfs
  • Shortcuts and decorators
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  • Class-based views
  • Mixins
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  • Python Basic Data Types
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  • Python Dictionaries
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  • Python Sets Examples
  • Reading Files
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  • Installation of Django
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  • Running the development server
  • Introduction to Django Admin Site
  • Introduction to Model
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  • Making queries
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  • Model form
  • Form sets
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  • Time zones
  • Form sets
  • Authentication
  • Django built-in authentications
  • Customizing authentication
  • Password management
  • Logging
  • Caching
  • Sending email
  • Syndication feeds (RSS/Atom)
  • Pagination
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  • Message framework
  • Sessions
  • Site maps
  • Signals
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  • Bitly – a URL shortening service similar to bitly.com
  • Twitter – Clone of twitter site

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