IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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How to Become a Data Engineer in 2026
A practical guide to becoming a data engineer: what the job is like day to day, the three common routes in from analysis, software and study, a six-step plan that ends in two projects you can defend, how to practise on real data, where certifications help, what interviews probe, and an honest view of timelines.
How to Become an Azure Data Engineer in 2026
Most guides to becoming an Azure data engineer list every Azure service. Survey data shows a narrower picture: the data engineers who work on Azure lean heavily on SQL Server, Databricks and PowerShell, alongside the Python and SQL every data engineer needs. Here is that evidence, and a path built on it.
Azure Data Engineer Salary in Hyderabad 2026: Why the Employer Matters Most
Azure skills are in demand in Hyderabad, but do they raise pay? Real 2025 survey data for India gives a surprising answer: Azure users are paid like their same-experience peers, while the size of the employer makes a large difference. This guide shows both and explains what it means for an Azure data engineer.
GCP Data Engineer Salary in India 2026: Remote Work, Google Cloud and Pay
Do remote jobs pay more in India, and does Google Cloud experience raise pay? Real 2025 survey data gives a careful answer. Remote and hybrid workers earned more than in-person workers, but mostly because of who employs them, and Google Cloud users were paid close to their peers. Here is the evidence.
AWS Certified Data Engineer Associate: Exam Guide
A guide to the AWS Certified Data Engineer - Associate exam, DEA-C01, taken from the official exam guide: format, length, cost and passing score, the four content domains and their weightings, what is out of scope, the services to know, and a study plan organised by domain with hands-on practice for each.
From Data Scientist to MLOps Engineer: A Roadmap
Data scientists already know models, data and evaluation, which is most of what MLOps engineers wish their colleagues knew. The gap is software and operations. This plan sets out what transfers, what to learn, a twelve-week sequence built around one evolving project, and how to present the move to employers.