#BigDataJob

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[karkidi-data-science-jobs]

What jobs do data science do?

In simple terms, a data scientist's job is to analyze data for actionable insights. Specific tasks include: - Identifying the data-analytics problems that offer the greatest opportunities to the organization. - Determining the correct data sets and variables.

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[reflections17]

Big Data - A short introduction – Job and Career Prospects

The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs.

Volume - Organizations collect data from a variety of sources, including transactions, smart (IoT) devices, industrial equipment, videos, images, audio, social media and more.

Velocity - With the growth in the Internet of Things, data streams into businesses at an unprecedented speed and must be handled in a timely manner.

Variety - Data comes in all types of formats – from structured, numeric data in traditional databases to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions.

Big Data consists of Semi-Structured and Unstructured Data which is generated by the following:

Rapid increase of Social Media Platforms like Facebook, YouTube, Twitter, Instagram, LinkedIn, Pinterest etc.

Availability of low cost Smart Mobile phones with Mobile Apps Loaded.

6.7 Billion Smart Phones in the world with Mobile Apps

Deployment of Low-Cost Sensors across the world - which is about 46 Billion Sensors connected by 2021

All the above technologies have contributed to the rapid rise in Big Data Technologies - like Internet of Things (IoT), Data Science, Artificial Intelligence (AI), Machine Learning (ML), Natural language processing (NLP)

Why Is Big Data Important?

Improve operations

Cost Saving

Time Saving

Quicker and Better Decision Making Within Organizations

Improve Customer Experience

Provide better customer service

Create personalized marketing campaigns

Applications of Big Data –

Secure Air Traffic System

Auto Driving Car

E-commerce

Smart Traffic System

Transportation

Healthcare

Financial and banking sector

Education Sector

Media and Entertainment Sector

Reasons Why Big Data Analytics is the Best Career Move –

Huge Job Opportunities & Meeting the Skill Gap

Salary Aspects

Adoption of Big Data Analytics is Growing

The Rise of Unstructured and Semi structured Data Analytics

Analytics: A Key Factor in Decision Making

Numerous Choices in Job Titles and Type of Analytics

Career Prospects and Jobs for Software Engineers in the domain of Big Data:

Global Big Data Analytics Market to Grow 4.5 Times by 2025.

The average salary for Big Data Jobs in India is - ₹ 7,00,000 per year

The average salary for Big Data Jobs in USA is $187,500 per year

Big Data Role & their average salary:

Big Data Engineer - ₹ 10,00,000 - 20,00,000 P.A.

BIG DATA LEAD DEVELOPER - ₹ 16,00,000 - 30,00,000 P.A.

Big Data Developer - Python/Hadoop - ₹ 5,00,000 - 9,00,000 P.A.

Big Data Quality Assurance Engineer - ₹ 8,00,000 - 9,00,000 P.A.

Big Data Engineer / Python/ Scala /Spark /panda /matplotlib - ₹ 11,00,000 - 13,00,000 P.A.

Big Data Engineer - Spark, Scala, AWS - ₹ 10,00,000 - 18,00,000 P.A.

Big Data Engineer - $140,000 - $160,000 P.A

Bigdata Cybersecurity engineer - $180,000 - $190,000 P.A

Big Data Testing Engineer -$180,000 - $190,000 P.A

Big Data Solutions Architect - Data & Analytics

Lead Big Data Developer

What are the skills required for Big Data Engineer:

Analytical Skills

Familiarity with Business Domain and Big Data Tools

Data Visualization Skills

Problem Solving Skills

SQL – Structured Query Language

Familiarity with Programming Skills

Familiarity with Cloud Technologies like – Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)

Familiarity with data analysis tools, especially SQL, NoSQL, SAS, and Hadoop.

Tags:

#BigData #Career #CareerProspects #BigDataEngineer #SoftwareEngineer #DataScience #Training #ArtificialIntelligence #MachineLearning #AI #ML #NLP #BigDataTrainings #BigDataVendors #BigDataCourses #BigDataDatasets #BigDataGigs #BigDataTechstacks #BigDataProjects #BigDataHackathons #BigDataCareer #BigDataBlogs #Blogs

About the author:

Article Contributed by BigDataLogin Operations Team - with inputs from various global resources. Website: https://www.bigdatalogin.com/

BigDataLogin is a One-Stop Digital Platform for the $200 Billion Big Data and Software industry. Users can connect with the global Big Data and software community.

Users can also find Jobs, Trainings, Datasets, Vendors, 1:1 Online Mentors for fixing Technical issues. You can visit their website at https://www.bigdatalogin.com/

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[itconsultant4u]

Get the Right Job for You. Find Better Career with itconsultant4u.com Are you a professional in Big Data? Then what are you waiting for here is an opportunity to work with Philips Job Designation: Big Data Engineer Company: Philips Experience Range: 2-9 Years Location: Bangalore, Delhi, Punjab Educational Requirements: Any Graduation Apply Now Here: http://bit.ly/Philips-Hiring-Big-Data-Engineer-ITConsultant4u

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[afsainfosystems]

We at AFSA Infosystems Pvt. Ltd. Looking For a Big Data Cloud Engineer. Read more & Apply here: http://bit.ly/AI_BDCE #AFSAInfosystems#BigData #bigdataengineer #bigdatajobs #hiring #devops #jobs #jobsearch #cloud #aws #punejobs #punejob #jobserch #jobinindia #punehiring

[technologynewone]

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[the-iotacademy]

Data Science is at a boom right now, every organization wants to inculcate data science and AI into their working which further generates various job opportunities and roles that a lot of people are aware of. People wonder which amongst all the job roles is the highest paying. Let’s see

1. Enterprise Architect- The average salary in India is ₹2,570,000 pa. 2. Data architect- Average salary in India is ₹1,940,000 pa. 3. Application architect- Average salary in India is ₹1,930,000 pa. 4. Data Scientist- Average salary in India is ₹6, 98,000 pa. 5. Machine learning engineer- Average salary in India is ₹6, 90,000 pa. 6. Business intelligence- Average salary in India is ₹570,000 pa. 7. Statistician- Average salary in India is ₹5, 00,000 pa. 8. Data Analyst- The average salary in India is ₹4, 19,000 pa.

For more details visit: https://www.theiotacademy.co/applied-data-science-with-python-certification-program

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[karkidi-data-science-jobs]

Is data science still in demand 2022?

The average salary for a data scientist is $120,000 per year. With less than a year of experience, an entry-level data scientist can make approximately $125,000 to $150,000 per year. Data scientists with 1 to 4 years of experience may expect to earn about $170,000 to $200,000 per year. - try us for more details

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#Techmahindra is hiring for a Solution Architect. Education: Any Graduate Skill: Big Data Analytics Like and Comment #interested to register your interest! follow Fresher & Experience Jobs - ReferIndia for more job updates. How to apply: 1. Like and Comment if you are interested. 2. Apply Link: https://lnkd.in/g8a2iZbB 3. You can also tag your friends. We are also posting jobs opportunities here daily here: https://lnkd.in/dpasyE3 #jobs #job #jobopportunities2021 #jobopportunities #jobhelp #careeropenings #careeropportunities #careergrowth #referindia #recruitments #recruitment #recruiting #recruiters #jobsopening #bestopportunity #bigdata #bigdataanalytics #bigdatasolutions #bigdataengineer #bigdatadeveloper #bigdatajobs #techmahindra (at Mumbai, Maharashtra) https://www.instagram.com/p/CUPVaJSg9co/?utm_medium=tumblr

[itconsultant4u]

Post Your Resume and Search Multiple no. of IT Jobs Online to find the next step in your IT Career on itconsultant4u.com

Are you professional in Big Data? Then what are you waiting for here is an opportunity to work with NCR

Job Designation: Big Data Engineer

Company: NCR

Skills: programming language like Java, Scala or Go, OOP design and patterns

Experience Range: 1+ Years Experience

Location: Gurgaon

Educational Requirements:  Bachelor’s degree or higher in Computer Science or a related field.

Roles & Responsibilities:

Specialize in data egestion (from the Enterprise Data Lake to analytical and operational systems).

Specialize in making trusted data available and accessible to the users through visualization, reports, dashboards, search, drill-up and drill-downs, machine learning, etc..

Participate in collaborative software development and implementation of the new Enterprise Data Lakeon Hortonworks HDP and HDF distributions.

Explore and evaluate new ideas and technologies.

Ensure the conceptual and architectural integrity of the platform.

Work on large-scale, multi-tier big data engagements.

Gain deep technical expertise in the Hadoop administration.

Provide support, on-going maintenance, and required modifications to multiple Hadoop environments.

Apply Now Here: http://bit.ly/big-data-engineer-ncr