138.2K
VEThe Only Data Engineering Roadmap you will ever need
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#technology #trending #jobsearch #parttime #techconsulting #tech #hacks #behavioral #nodaysoff #veeconsistent #linkedin #emails #dataengineering
@vee_daily19
#Data Engineering Roadmap 2026
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AI2026 Data Engineer Roadmap 🚀 (0 → Job Ready)
Want to become a Data Engineer?
Start with Python & advanced SQL → learn databases & data modeling → master ETL pipelines → work with big data tools like Spark & Kafka → deploy on cloud platforms.
This roadmap covers:
Python • SQL • ETL • Airflow • dbt • Spark • Kafka • AWS/GCP • Data Warehousing • Real-time pipelines.
Perfect for students, developers, and anyone entering data engineering.
Save this reel & start building data pipelines today 📊🔥
#DataEngineer #DataEngineering #BigData #ETL #AIwithPJ
@aiwithpj
223.3K
ECComment roadmap to get sent my free and complete data engineering roadmap!
@eczachly
301.9K
MUYou DO NOT need to learn everything to become a Data Engineer.
People often prepare for mid-level roles while applying for entry-level roles.
Here’s what actually mattered for me in the beginning when switching from testing to a data engineer role.
1. SQL(non-negotiable): You’ll need to know the basics and complexities of sql along including subqueries and window functions.
If you’re not strong in SQL, you won’t be able to move forward in interviews.
2. Python concepts basics like lists, dictionaries, sets and basic problem solving.
You can solve questions in other languages too but I’d suggest Python as it’s easy to learn.
You don’t need hardcore DSA for most entry-level Data Engineering roles, but DSA is definitely important.
3. Data warehousing concepts like facts vs dimension, star vs snowflake schema, SCD Type 1,2 etc.
Understanding concepts and what data warehousing is and why it’s there mattered more than tools.
4. ETL and data pipeline understanding. How data is extracted, transformed, loaded is the CORE of Data Engineering.
You don’t need spark understanding in the beginning, just the understanding of how data flows in and out.
5. System design basics, not like design twitter/uber. Simple understanding of how data moves end to end and overall understanding of data eco-systems.
No deep design is expected at entry-level.
6. Pick any one cloud. Don’t chase all clouds, just any one cloud and cover its basics because you’d most likely be working on some cloud in your work.
I moved from Testing to Data Engineering by focusing on these basics, instead of trying to learn every other tool out there, and it is still the very core of Data Engineering which one must know to crack interviews.
Save this if you’re planning to make a switch into Data Engineering.
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[data engineering roadmap, entry level data engineer preparation, switching to data engineering, testing to data engineering, data engineer interview preparation, sql for data engineering, python basics for data engineer, data engineers for beginners, microsoft data engineer]
#dataengineer #dataengineering
@muskan.khannaa
15.5K
DEHigh demand of Data Engineers in 2026🚀
Comment "Link" for the details🚀
(Data engineering, Data analyst, Data science, DevOps, Software engineering, Data analytics, job switch, data engineering roadmap, data engineering roadmap for 2026)
#dataengineering #devops #softwareengineering #explorepage #dataengineer
@decodewithavyay
1.2M
THHere’s a roadmap to help you go from a software engineer to a data scientist 👩💻 👇
If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you.
Step 1 – Learn Python and SQL (not Java, C++, or JavaScript).
→ Focus on pandas, numpy, scikit-learn, matplotlib
→ For SQL: use LeetCode or StrataScratch to practice real-world queries
→ Don’t just write code—learn to think in data
Step 2 – Build your foundation in statistics + math.
→ Start with Practical Statistics for Data Scientists
→ Learn: probability, hypothesis testing, confidence intervals, distributions
→ Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule)
Step 3 – Learn ML the right way.
→ Do Andrew Ng’s ML course (Deeplearning.ai)
→ Master the full pipeline: cleaning → feature engineering → modeling → evaluation
→ Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper
Step 4 – Build 2–3 real, messy projects.
→ Don’t follow toy tutorials
→ Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio
→ Upload everything to GitHub with a clear README
Step 5 – Become a storyteller with data.
→ Read Storytelling with Data by Cole Knaflic
→ Learn to explain your findings to non-technical teams
→ Practice communicating precision/recall/F1 in simple language
Step 6 – Stay current. Never stop learning.
→ Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn
→ Join communities, follow researchers, and keep shipping new experiments
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Save this for later.
Tag a friend who’s trying to make the switch.
[software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]
@the.datascience.gal
11.3K
COData engineers make data work.
Here’s your roadmap to become a data engineer.
Learn, build, and grow with Codementor 🫶
@codementor
117.7K
SUData Engineer Roadmap 2026 - Must Watch 🔥💯
Comment ‘Data’ for full video Link
Save & Share for Later Use ✅
Follow @sunejaajay for more and for the video link check my broadcast channel ✨
#software #engineering #frontend #income #salary #jobs #hike #ai #frontend #hiring #hacking #cyber #podcast #software #ai #jobs #journey:
@sunejaajay
26.7K
HAData Engineering Roadmap in 2026!
In this video I’ve explained what is data engineering & shared a roadmap to become a data engineer in 2026!
Companies pay crazy salaries for data engineers, check the video till the end to know more!!
#DataEngineer #Skills #Student #Job #Data
@harshith.presents
27.2K
DA🚨 Want to become a Data Engineer in 2026 but confused what to learn?
Most people keep switching tools… and never become job-ready.
Data Engineering is one of the highest-paying fields right now — but only if you follow the right roadmap.
I’m sharing a structured, step-by-step roadmap to help you go from beginner → job-ready.
💬 Comment “DATA” and I’ll send you the roadmap.
Save this and share with someone serious about breaking into Data Engineering. 🚀
@data_with_anurag
129.6K
AR6 Months No BS Roadmap to become a Data Engineer and get a job from scratch.
1. Master Python and SQL - focus on Pandas, NumPy, and write complex SQL queries. Learn from W3Schools, FreeCodeCamp (English) or CodeWithHarry (Hindi). Practice on LeetCode SQL and HackerRank.
2. Learning databases and data warehousing. Understand OLTP vs OLAP systems. Get hands-on with PostgreSQL, learn Snowflake or BigQuery basics. Study data modeling from DataCamp or Simplilearn tutorials (both Hindi/English available).
3. ETL/ELT tools and orchestration. Start with Apache Airflow - watch tutorials on YouTube from Coder2Hacker (Hindi) or TechWithTim (English). Build a simple pipeline that moves data from an API to a database.
4. Big data and cloud platforms. Learn Spark basics from PySpark tutorials. Pick AWS, GCP, or Azure - follow their free tier documentation. Learn Docker and master Git.
5. Build real projects - a streaming pipeline, a data warehouse setup, ETL automation. Publish on GitHub, share on LinkedIn, and apply for jobs.
If you want to know which companies hire for Data Engineers and a detailed guide on that, comment below and stay tuned for next part.
#dataengineer #roadmap #data #cloud #azure
@arshgoyalyt
114.8K
HA🚀 ROAD MAP FOR DATA ENGINEERING
📊 Follow Infinite Data for more interesting content on data! 💡 Comment what topics you want to learn next and share this with your friends! 📈✨ #DataAnalytics #SQL #Excel #SQLTips #ExcelMastery #DataScience #DataVisualization #BigData #TechTutorials #LearningData #AnalyticsExpert #DataNerd #DataDriven #TechEducation #DataSkills #DataCommunity #DataInsights #DataTutorials #FollowForData #DataKnowledge
@hariharan.tech
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