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Who is a Data Engineer?
Data really powers everything that we do ~ Jeff Weiner
Are you familiar with Data Engineer? Approximately 7.5 septillion terabytes of data are produced per day globally. By enabling data analytics with their efforts, data engineers make these data useful. The data engineer job description includes creating reliable data architectures and interface designs to collect large amounts of data from various sources. Then, he or she converts the data into analytically relevant information. Infrastructure design for everything from databases to processing systems is a part of the process. It includes everything that happens in the data science world.
Data Engineer is required to utilise all kinds of scripting languages and tools as well to build and improve data analytics systems. We will examine data engineer careers, data engineer abilities, and data engineer certification in this article.
Data Engineer in a Nutshell
A Data Engineer is a professional responsible for building systems that collect, manage and convert raw data into usable information. The data engineer job description includes providing that information to data scientists, business analysts for future predictions. The major responsibility of a Data Engineer is to make data accessible for organisations to evaluate and optimise their performance.
Quick Facts for Data Engineer
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Industry
Information Technology
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Average Salary in India
₹109334
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Suitable for
Male, Female, Others
A career as a Data Engineer does not come with gender based roles and responsibilities. There is not having any restrictions based on individuals’ gender. Anyone can become a Data Engineer with relevant qualifications and skills.
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Any special needs
Yes
The role of Data Engineer is suitable for candidates with special needs. It is a desk based job role. Candidates having difficulty in frequent movement or those who can not perform work that requires physical labour or outside exposure are suitable for a Data Engineer role.
Table of Contents for Data Engineer
What is the role of Data Engineer?
A Data Analyst career comes with various roles and responsibilities. He or she is required to perform tasks that include working with data, and acquiring datasets that align with business needs. The data engineer job description includes Creating algorithms for the conversion of data into insightful knowledge and helpful information. Data Engineers build, test and maintain database pipeline architectures. Individuals in the data engineer career path are required to collaborate with management to understand company objectives.New tools for data analysis and data validation are developed by data engineers. He or she guarantees adherence to data governance and security policies.
Data Architecture
A Data Engineer is required to use a systematic approach to plan, create and maintain data architectures. He or she has to ensure alignment with the business requirements.
Collect data
The role of Data Engineer involves obtaining data from reliable sources, before making any work on the database. He or she is required to store the optimised data after formulating a set of dataset processes.
Conduct research
The role of Data Engineer involves conducting research based on industry trends and patterns. He or she is required to address issues while tackling business problems.
Create Models and Identify Patterns
A Data Engineer is required to use a descriptive data model for data aggregation to extract historical insights. He or she applies forecasting techniques to learn about the future by utilising predictive models.
What is the workplace/work environment of Data Engineer like?
A Data Engineer work environment is usually office based. He or she may often get work from home or remote work employment shifts. Individuals in the data engineer career path are required to perform in a team environment. His or her work schedule is quite flexible with paid days off, vacation time and health insurance. The role of Data Engineer comes with the major responsibility of preparing and managing data that can be used by a Data Scientist.
Does Data Engineer require travelling?
Likely
A Data Engineer jobs comes with a desk-based job role. Individuals in the data engineer career path are not required to travel. His or her job does not involve any field work.
Employment Shifts
Full Time, Work From Home
A Data Engineer is employed on a full-time basis. He or she works in a day-shift from early mornings to late evenings. Work from home or remote work may often be provided in this career.
Employment Nature
Contractual, Permanent
A Data Engineer career comes with both types of employment contractual and permanent. Candidates may locate various Data Engineer job opportunities that suit them through recruitment websites such as Indeed, Naukri.in, Monster, LinkedIn and others.
Work Place
Office, Work From Home, Remote Work
A Data Engineer works in an office environment. Individuals in the data engineer career path may often be provided with work from home or remote work employment shifts.
Presence in Geographical Area
Urban
Data Engineers employed at Gurugram get 14 per cent higher salary while those employed at Trivandrum, Kerala get 22 per cent higher salary than national average, as per payscale.com data. Cities such as Bengaluru, New Delhi, Hyderabad and Pune also provide flourishing Data Engineer jobs.
Time Pressure
Likely
A Data Engineer career comes with the time pressure. He or she is required to complete tasks within the given deadline. Extending deadlines unnecessarily causes a bad impact.
Overtime Details
A Data Engineer career comes with fixed working hours. It is a flexible job that comes with paid leaves, vacation and two day weekend offs. Occasionally, a Data Engineer may require to work extended hours.
Weekly Hours of Work
Min 40 Hours
A Data Engineer works a minimum of 40 hours per week. His or her work hours are fixed. He or she gets two day weekend offs.
How to become a Data Engineer?
Steps to become a Data Engineer
Wondering how to become a data engineer in India? Looking for answers to questions like, " how to become a data engineer without a degree", "how to become a data engineer after 12th grade", or "how to become a data engineer with no experience". This section of the article will guide you through the steps to embark and answer all the questions related to how to become a data engineer in India, starting from scratch or right after completing your 12th grade.
What are the skills and qualities required to become a/an Data Engineer?
We have provided here details of data engineer skills. Aspirants who want to opt for a full-time career as Data engineer are required to possess these skills. Data engineer skills help them to remain efficient and competent in the work environment. Here, we will discuss how to become a data engineer in India.
Coding Skills: A Data Engineer work demands proficiency in coding languages. He or she must possess knowledge of computer programming languages such as SQL, NoSQL, Java, Scala and R.
Machine Learning: A Machine Learning individual is required to possess ML or Machine Learning Skills. It is crucial for data scientists to make use of analytics. Machine Learning provides support to have a basic understanding of concepts to fulfil the need of data scientists.
Big Data Tools: A Data Engineer does not only work with regular data. He or she is required to manage big data. Data Engineers must possess the knowledge of varying tools and technologies used in companies for big data management such as Hadoop, Kafka and MongoDB.
Cloud Computing: The role of a Data Engineer demands an understanding of cloud storage and cloud computing. Numerous companies have started to trade physical servers for cloud services.
ETL: ETL stands for Extract, Transform and Load. ETL is the process that enables moving data from databases and other sources into a single repository. Some of the common ETL tools are Xplenty, Alooma, Stitch and Talend.
Automation and Scripting: Automation is crucial for big data as it enables the collection of so much information. Data Engineers are required to write scripts in order to automate repetitive tasks.
Popular Online IT Courses and Certifications
Which certifications and internships can be helpful in becoming Data Engineer?
We have provided here the data engineer certification required for data engineer career growth. Aspirants who want to opt for a career as Data Engineer may get themselves enrolled in any of these data engineer certifications.
Internship Availability
Aspirants who want to become a Data Engineer are required to first complete their academic qualification and then opt for Data Engineering internships. They may also opt for internships being enrolled in the academic course. Candidates can locate Data Engineering internships through various job portals such as Indeed, Internshala, naukri.in, Monster and others. A Data Engineer Intern is assigned with several tasks. He or she is required to design for database and data pipeline or ETL by various tools and technologies. A Data Engineering Internship comes with the requirement to design and build data structures. He or she has to define standards and methodologies for the Data Management environment.
Career Path Progression for Data Engineer
Junior Data Engineer: A Junior Data Engineer work responsibilities involve developing technical solutions. He or she is required to understand data requirements. The role demands aggregating and analysing data sets for actionable insight.
Senior Data Engineer: A Senior Data Engineer is a professional responsible for overseeing data integration, data modelling and maintenance of data warehouse and analytics environments. He or she writes scripts for data integration and analysis.
Data Engineer Jobs and Salaries
Junior Data Engineer
Contractual/Permanent
- Average Salary 60331
Job Description
A Junior Data Engineer role involves developing reports, dashboards and tools for business users. He or she is responsible for developing and transforming computer algorithms into prototype code. A Junior Data Engineer maintains, organises and identifies trends in large data sets.
Salary Description
The salary of a Junior Data Engineer varies depending on his or her skills, knowledge and academic background. The average Junior Data Engineer salary in India is Rs. 723973 per annum.
Senior Data Engineer
Contractual/Permanent
- Average Salary 158337
Job Description
A Senior Data Engineer is responsible for building and maintaining data pipelines that facilitate deeper analyses and reporting by the Data and Analytics department. He or she builds data processing frameworks for handling the growing database of the business.
Salary Description
The salary of a Senior Data Engineer varies depending on his or her skills, knowledge and experience. The average Senior Data Engineer salary is Rs 19,00,064 per annum, according to payscale.com.
What is the job outlook for Data Engineer?
The job market for Data Engineers is rapidly growing with a rate of 50 per cent year over year. The demand for Data Engineers has been on rising since 2016. As per the reports, a career as Data Engineer has witnessed an 88.3 per cent rise in the number of job postings alone in the year 2019. A Data Engineer career is one of the most demanding careers. The demand-supply ratio of Data Engineers is five times higher than that of Data Scientists. Data Engineers are the highest paid talent with constantly growing salaries at a rapid pace. The currently evolving trend adopted by most businesses to migrate to the cloud has increased the demand for Data Engineers.
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Frequently Asked Questions for Data Engineer
Que. What is the average salary of a Data Engineer?
Ans.The average Data Engineer salary is Rs. 857,157 per annum in India, according to payscale.com.
Que. What is the minimum required qualification to become a Data Engineer?
Ans.The minimum required qualification to become a Data Engineer is successful completion of undergraduate courses in computer science engineering, data science or relevant specialisations.
Que. c
Ans.Some of the top Data Engineering colleges in India include IIT Bangalore, IIT Kharagpur, IIT Mandi, BITS Pilani, SRMIST Chennai, GLIM Chennai and VIT Vellore. These institutions offer strong programmes in data engineering and related fields.
Que. What are top Data Engineer employers?
Ans.Some of the top employers for Data Engineers include tech giants like Google, Amazon, and Facebook, as well as leading companies in finance and healthcare such as JPMorgan Chase and UnitedHealth Group. The choice often depends on your specific interests and career goals within the field of data engineering.
Que. What is the average fee of B.Tech. in Data Science?
Ans.The average fee of B.Tech. in Data Science ranges from Rs. 300,000 to Rs. 15,00,000.
Que. What does a data engineer do?
Ans.A data engineer roles and responsibilities include designing, building, and maintaining data infrastructure, ensuring the efficient collection, storage, and retrieval of data for analysis, typically using tools like ETL (Extract, Transform, Load) processes and databases.
Que. How long does it take to become a data engineer?
Ans.The time to become a data engineer varies but often takes several years of education and practical experience. A bachelor's degree in a related field may take around 4 years, followed by gaining proficiency through on-the-job experience, which can take an additional 2-4 years.
Que. Is it hard to become a data engineer?
Ans.Becoming a data engineer can be challenging as it requires a strong foundation in programming, database management, and data manipulation, but with dedication and the right resources, it's attainable for individuals with a technical aptitude and willingness to learn.
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Did you know?
Fact 1
Data collected in text format comprises to 91 per cent of data utilised in the data science
Fact 2
Public data contributes to 41 per cent of data in the pipeline of data science
Fact 3
On an average 33 per cent of data is in image format, 11 per cent is audio and 15 per cent is video
Fact 4
Internal systems generate 78 per cent of input data utilised in data science
