Engineering

The starting Data Engineering salary for fresher students is around INR 4 LPA to INR 8 LPA, which differs on the basis of the job role, recruiter, company location, skill set, internship experience, and additional certifications (if any). After you gain some years of experience in the Data Engineering field, you can easily take home a hefty amount, given the need and scope of data modeling and infrastructure in small and large businesses.

You can land some exciting career opportunities after completing Data Engineering courses online, along with a healthy salary potential and job satisfaction score. Some top Data Engineering jobs are given here for your reference:

• Data Engineer
• Big Data Engineer
• Data Warehouse Engineer
• Machine Learning Engineer
• Cloud Data Engineer
• Data Analyst
• Data Architect
• Business Intelligence Developer

You can study a 5-month online Professional Certificate Course in Data Engineering offered by IIT Kanpur after completing your graduation in a related field. For the NITs, none of them offer a dedicated Data Engineering course as yet, but you can have a look at related courses like BTech in AI and Data Science or BTech CSE with some elective modules on Data Engineering basics.

Unfortunately, no college in India offers a dedicated full-time course in Data Engineering at present. Colleges like IIT Kanpur, SRM Institute of Science and Technology, and BITS Pilani provide professional certificate and M.Tech courses in Data Engineering in the online mode, where the lectures are self-paced and convenient for you to take at whatever time suits you.

But, you can take up related courses like Data Science and CSE, which are offered across various top colleges, including the top IITs and other renowned engineering colleges in the full-time mode.

The Data Engineering curriculum is not the same for all online certifications. A few core concepts related to databases and fundamentals of data modeling, warehousing, and machine learning can be the same, but the course focus differs, along with the study approach and user audience. Data Engineering courses for beginners are more basic and focus on theoretical learning, while advanced courses are practically oriented and involve complex processing and tasks.

There are various platforms where you can study Data Engineering courses with a certificate at the end of the course duration. Some top choices include Coursera, Udemy, edX, Simplilearn, Great Learning, Databricks, LinkedIn Learning, Google Cloud, etc. Most of the students find these platforms convenient and affordable, and hence they are the topmost go-to options for learning everything about creating data pipelines and managing data warehouses.

Yes, of course, you can opt for free Data Engineering courses, which can be of a few hours duration or stretch up to a few weeks/months. Some of the best Data Engineering courses online free are given here:

• Spark, Hadoop, and Snowflake for Data Engineering by Coursera
• IBM - Introduction to Data Engineering by Coursera
• Advanced Data Engineering by Coursera
• Microsoft Azure Databricks for Data Engineering by Microsoft
• Data Engineering with MS Azure Synapse Apache Spark Pools by Microsoft

Data Engineering courses are mostly offered in the online mode through e-learning platforms or universities. A few online courses may require general aptitude tests and a background in CS, IT, or Science/Mathematics, but there are no specific entrance exams as such for online platforms.

Having said that, when it comes to the Data Engineering courses online offered by universities, SRM Institute of Science and Technology offers an M.Tech in Data Engineering course for which you will to clear the SRMJEEE (PG) entrance exam.

You can find the list of some important technical and soft skills needed for career success after learning Data Engineering here:

Well, yes. A strong hold over programming languages is very important for data engineers because they are involved in building data pipelines, working with complex datasets, and data cleaning, processing and automation tasks. None of this is possible without mastery in programming languages like Java, Python, Scala, etc., which are important for strategic and scalable business solutions.