If you ask any college student or working professional what industry they want to work in? Every second answer will almost certainly be a data science industry only. This can be explained in a variety of ways. The most common are work positions, wage scales, and demand.
Also, companies across industries are looking only at the data as the key to their growth. They are doing their best to build the infrastructure that can support them in this data-driven world.
So, if companies and job aspirants across sectors are only talking about data today, why shouldn’t we?
In this blog, we will solely discuss data, the job responsibilities linked with it, the typical income that these data-related occupations receive, and the abilities necessary to grab these jobs.
1. Data Analyst
A data analyst examines data sets to find answers to customer-related issues. A data analyst also communicates this information to management and other stakeholders. The normal duty of a data analyst is to collect, clean, model, and analyze data before presenting it to stakeholders.
The following are the top technical and soft skills necessary to become a data analyst:
- Data Visualization
- Data Cleaning
- NoSQL and SQL
- Machine learning
- Calculus and Linear Algebra
- Thinking Critically
In India, the national average compensation for a Data Analyst is 6,00,000. This salary estimate is based on 10,319 anonymous salary submissions to Glassdoor by Data Analyst workers.
2. Data Scientist
The goal of a data scientist is to examine data to find patterns and help organisations solve problems in unique and imaginative ways, from predicting what customers will buy to managing plastic waste. To make data available to businesses, data scientists extract, analyse, and interpret massive amounts of data from numerous sources using algorithmic, data mining, artificial intelligence, machine learning, and statistical approaches.
- Statistical analysis
- ML & DL
- Data Wrangling & Visualization
- Analytical Tools
- Strong Business Acumen
- Strong Communication Skills
- Mathematics & Statistics
Rs. 10,90,000 is the average compensation for a Data Scientist in India. This wage estimate comes from 7,547 anonymous salary contributions made by Data Scientist employees to Glassdoor.
3. Machine Learning Engineer
A machine learning engineer (MLE), as the name implies, is someone who combines software engineering skills with machine learning understanding. The emphasis here is on engineering rather than on developing ML algorithms. This specialist’s major aim is to deploy ML models to production and automate the process of making sense of data as much as feasible. MLEs often work as part of a data science team that also includes data engineers, data architects, data and business analysts, and data scientists. Watch this video to learn more about their responsibilities. Play
The following skills should be well-known to a machine learning engineer:
- Fundamentals of computer science.
- Data Modeling
- Data Evaluation.
- NLP and Knowledge of Neural Networks.
- Communication Skills.
Machine Learning Engineers in India make an average annual salary of 9,14,458. Salary expectations are calculated based on 1,084 anonymous salary contributions made by Machine Learning Engineer employees to Glassdoor.
4. Applications Architect
An application architect, often known as a software architect, is a person who generally works on a single application. His primary responsibility is to monitor the entire system, comprehend the interactions between components at a given level of abstraction, and specify source code constraints and requirements.
In addition to a thorough grasp of object-oriented design, practitioners must have familiarity with application development tools and specialized application and system architecture. Employers prefer candidates with five to eight years of similar job experience and software skill sets such as AJAX, C#/C++, and LAMP. Experience designing, developing, and deploying enterprise-level N-tier architecture on a Microsoft.NET Framework or Java Enterprise Edition platform may be required.
Skills required to be an Application Architect are:
- Project management
In India, the national average compensation for an Applications Architect is Rs. 20,27,400. Salary estimates are based on 203 anonymous salary submissions to Glassdoor by Applications Architect workers.
5. Data Architect
Data architects are information technology professionals who use their computer science and design skills to review and analyze an organization’s data infrastructure, plan future DBMS, and implement solutions to store and manage data for organizations and their users. Data architects can work in almost any industry because almost every company uses data, including technology, entertainment, health care, finance, and government.
Data architect skills required include the following areas:
- Applied mathematics and statistics
- Data visualization, data migration and data modeling
- Relational database management systems and SQL
- Server Database and cloud computing design.
- Machine learning, predictive modeling and natural language processing
- Data mining and modeling tools
- Programming languages, including Java, Python and C/C++
In India, the national average income for a Data Architect is Rs. 21,68,063 per year. Salary estimates are based on 206 anonymous salary submissions to Glassdoor by Data Architect workers.
6. Enterprise Architect
An enterprise architect determines the strategy and direction of an organization’s operations, enhances IT infrastructure, and optimizes business processes. The enterprise architect is responsible for integrating the information applications and programmes of the organization.
Apart from the usual technical skills required for any technical job role in the data science industry, an Enterprise architect must possess these skills:
- Problem formulation
- Solution shaping
- Consensus building
- Solution realization
- Solution management
In India, the national average compensation for an Enterprise Architect is Rs. 27,93,433. Salary estimates are based on 221 anonymous salary submissions to Glassdoor by Enterprise Architect workers.
7. Infrastructure Architect
Infrastructure architects plan, design, build and manage the systems that power a company’s technology infrastructure. They evaluate the operation’s current resources, identify any modifications that may be required, and provide recommendations. They also offer continuing assistance and advice to guarantee that the infrastructure can continue to meet shifting needs.
- Infrastructure Advanced Certification (VMware, Microsoft, RedHat, Cisco, etc.) or hyper-scale Advanced Certification (AWS, Azure, GCP)
- Private / hybrid cloud solutions, either commercial tools (VMware, BMC, HP, Cisco, Microsoft) or OpenSource (Openstack, Cloudforms, etc.).
- Knowledge of Public Cloud services such as AWS, Microsoft Azure, or GCP
- Containers (Kubernetes, Docker, etc.)
- TOGAF Certification
- Knowledge of automation and Orchestration of infrastructure operational processes (Ansible, BMC, VMware, Red Hat, Chef, Puppet, etc.).
In India, the national average income for an Infrastructure Architect is Rs. 21,16,000 per year. Salary estimates for Infrastructure architects are based on 71 salaries reported anonymously to Glassdoor by Infrastructure Architect workers.
8. Business Intelligence Analyst
A Business Intelligence Analyst is in charge of mining a company’s data in order to gain important insights. These findings are then applied to crucial business choices.
A Business Analyst’s job entails a lot of responsibility. To do the job properly, you must have a precise set of talents. If you want to work as a Business Intelligence Analyst, you should know that the position is becoming increasingly vital in many firms.
Skills required to be a BI Analyst are:
- Data Analysis
- Specific industry knowledge
- Communication skills
- Data visualization
- Advanced vision and attention to detail
- Statistical analysis
- Programming knowledge
- Technical notion
- Business acumen
In India, the national average income for a Business Intelligence Analyst is 7,53,083. Salary estimates are based on 232 anonymous salary submissions by Business Intelligence Analyst workers on Glassdoor.
A statistician is a business practitioner who uses statistics to address real-world business challenges. They acquire reliable data, process the raw data, and then use specialist tools to evaluate data sets to aid make key business decisions. Statistics professionals are in high demand in a variety of fields, including business, health and medicine, government, physical sciences, and environmental sciences.
10. Data Engineer
Data Engineers play a pivotal role in constructing and maintaining the architecture (like databases and large-scale processing systems), pipelines, and data sets that data scientists and analysts use for their analyses and applications. They ensure that data is clean, reliable, and easily accessible. Their expertise lies in SQL, Python, and other technologies like Hadoop or Spark. They work closely with data architects and are responsible for designing and implementing systems that can store, process, and retrieve vast amounts of data. If this sounds interesting to you, checking out odinschool.com will not be a waste of time.
Expertise in big data technologies, database systems, ETL (Extract, Transform, Load) processes, and strong programming skills are essential. Familiarity with cloud platforms and services, as well as an understanding of data warehousing solutions, is also crucial.
In India, the national average salary for a Data Engineer is approximately Rs. 8,50,000, based on various anonymous salary submissions
Data is our generation’s money. As a result, data science occupations are among the fastest-growing and most popular career options. In this blog, we covered top careers in data science. We discussed the skills and pay scale for some of the top careers in data science.
If you want more guidance and want to build your career in one of such data-driven job opportunities, then please feel free to enroll in Board Infinity’s course – www.boardinfinity.com.