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#interview #tips #preparation #datastructures #algorithms #coding #faang #github #design #architecture #project #data

🚀 Empower your career with data engineering skills and secure your dream job in this growing field⚙️

✔️ After receiving a lot of queries, I've made some revisions to my original suggestion and I highly recommend following this exact sequence. Trust me, it will make things much easier for you.

♻️ It's easy to get lost in the vast amount of information available when it comes to learning new skills, especially in the field of data engineering.

🔗 However, with a solid roadmap and some dedication, it is possible to enter the field of data engineering in 2023.

Here are some steps you can follow to make sure you're on the right track -

🔶 Learn RDBMS, NoSQL databases, SQL, and data warehousing concepts :

As a data engineer, you'll be working with large amounts of data stored in databases. Familiarize yourself with different types of databases and how to query them using SQL. Learn one RDBMS and one NoSQL database, then familiarize yourself with data warehousing concepts.

1. Learn Data Warehousing concepts - https://lnkd.in/eKnVbFAB
2. Learn MySql - https://lnkd.in/efk-Mi3c
3. Learn and practice SQL - https://lnkd.in/efMKFkfX
4. Learn Azure Cosmos DB - https://lnkd.in/eNVyc6Mq
   
🔶 Learn Python and PySpark :

These are essential tools for data engineers.

1. Python: https://lnkd.in/e5rCbvP8
2. PySpark : https://bit.ly/3Vu34Ev

🔶 Learn Bash, Airflow and Kafka :

These tools will help you automate and streamline data processing tasks. You will also lear how to create data pipelines.🔩

https://lnkd.in/eyN6u2yd

🔶 Learn Git and the basics of CICD :

These skills will help you work collaboratively on data engineering projects and ensure smooth deployment.

Git - https://lnkd.in/eX_Q8s99
Basics of CICD - https://lnkd.in/epKGivFY

🔶 Learn Azure Databricks and Data Lakes :

Azure Databricks - https://lnkd.in/eBij4akJ
Learn Data Lakes - https://lnkd.in/eQ9xxAJT

👉 Create a standout resume by showcasing your skills and experience in data engineering.

👉 Enhance your portfolio by completing various data engineering projects and sharing them on GitHub.

👉 Seek out opportunities in data engineering by applying to relevant positions

Optional Learning -

1. Learn Data Structure and Algorithms
2. Learn AWS or Azure services dedicated for data engineering works.
   
By following these steps and dedicating yourself to learning and gaining experience, you can become a data engineer in 2023. Good luck on your journey!

I have created a Telegram channel for sharing knowledge and have included the link in the comments section.

📌 If you like my posts, please follow https://www.linkedin.com/groups/14161672 🇺🇸 🌐🌐 and hit the 🔔 on my profile to get a notification for all my new posts.

#dataengineering #nosql #hadoop #datastructures #sql #algorithms #bigdata #business #python #data #programming #mysql #database #aws #spark #github #azure #job #career #learning #opportunities #experience #resume #engineer #warehousing

📌 𝐃𝐨𝐧'𝐭 𝐰𝐚𝐬𝐭𝐞 𝐭𝐢𝐦𝐞 𝐢𝐧 𝐫𝐞𝐦𝐞𝐦𝐛𝐞𝐫𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐚𝐧𝐲 𝐧𝐚𝐦𝐞𝐬 & 𝐬𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠 𝐭𝐡𝐞𝐢𝐫 𝐂𝐚𝐫𝐞𝐞𝐫 𝐩𝐚𝐠𝐞𝐬 :

📍 𝗦𝗮𝘃𝗲 𝗮𝗻𝗱 𝗦𝗵𝗮𝗿𝗲 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗳𝗿𝗶𝗲𝗻𝗱𝘀 𝗳𝗼𝗿 𝗯𝗲𝘁𝘁𝗲𝗿 𝗿𝗲𝗮𝗰𝗵.

📌 𝑪𝒐𝒎𝒑𝒂𝒏𝒚 𝑪𝒂𝒓𝒆𝒆𝒓 𝒑𝒂𝒈𝒆 𝑳𝒊𝒏𝒌𝒔 :

1. Capgemini : https://lnkd.in/dZBUYY88
2. Infosys : https://lnkd.in/dEcdZ7gf
3. Wipro : https://lnkd.in/d89txDcp
4. Cognizant : https://lnkd.in/d6tp6F_p
5. LTI : https://lnkd.in/dnCVuQzD
6.TCS : https://lnkd.in/dJpHXdvv
7. DXC Technology : https://lnkd.in/dnVzT7eb
8. HCL : https://lnkd.in/dwTuQWAf
9. Hashedin : https://lnkd.in/d2ePnTG4
10. Hexaware : https://jobs.hexaware.com/
11. Revature : https://lnkd.in/dtJkkrBp
12. IBM : https://lnkd.in/dU-VhUCw
13. Nagarro : https://lnkd.in/dRyQ_rkk
14. Virtusa : https://lnkd.in/dHJwPXiG
15. Zoho : https://lnkd.in/dUw9Qi4B
16. CGI : https://lnkd.in/d3vs3whb
17. Finastra : https://lnkd.in/dsXSfUev
18. FIS : https://lnkd.in/dJCX6aVz
19. Fiserv : https://lnkd.in/d7inSReM
20. IQVIA : https://lnkd.in/dsxAXftw
21. JIO : https://lnkd.in/dqVxSNgW
22. MAQ Software : https://lnkd.in/d2dkHExY
23. Optum: https : //lnkd.in/dvxb_7ds
24. Publicis Sapient : https://lnkd.in/d6G3tHUF
25. Geekyants : https://lnkd.in/dDKQVqv2
26. Accolite : https://lnkd.in/dDN5PWQk
27. Airtel: https://lnkd.in/d9i9YwjV
28. EA : https://lnkd.in/dHTe2pFc
29. Gartner : https://lnkd.in/dgsH4KUz
30. HARMAN : https://lnkd.in/dBP_hSFE
31. Yellow[.]ai : https://lnkd.in/dUPgitVf
32. Seimens : https://lnkd.in/df4czTeb
33. Samsung : https://lnkd.in/d5gUrDxq
34. Vmware : https://lnkd.in/d7zgbhXk
35. Adobe https://lnkd.in/dMWhmAKZ
36. Amazon : https://lnkd.in/dSYUatGR
37. Cadence Design Systems : https://lnkd.in/dAjV2Df4
38. CleverTap: https://lnkd.in/dUNg4sZP
39. Cisco: https://jobs.cisco.com/
40. Dunzo: https://lnkd.in/d5ZUmmG6
41. FamPay: https://apply.fampay.in/
42. Flipkart: https://lnkd.in/d_9WfsNY
43. Google: https://lnkd.in/dGMfCuRs
44. Hackererath : https://lnkd.in/ds2n7SNb
45. Morgan Sanley : https://lnkd.in/d53kRcp3
46. EY: https : //lnkd.in/d9MbsS3V
47. MyGate: https://lnkd.in/d5pTjwxs
48. McAfee : https://lnkd.in/d7vST4g6
49. Oracle : https://lnkd.in/dDDbnZMu
50. Microsoft : https://lnkd.in/dKt2drwp
51. PhonePe : https://lnkd.in/dtTZzhXn
52. PWC : https://lnkd.in/d4b8DTft
53. Rakuten : https://lnkd.in/dRuSSrq2
54. Razorpay : https://lnkd.in/dveHTU3p
55. SAP: https://lnkd.in/dDVKcPST
56. Media[.]net : https://lnkd.in/dfti6QZ8
57. Twilio: https://lnkd.in/dskmG6eT
58. Byju’s: https://lnkd.in/dX4g5UrW

📌 Follow https://www.linkedin.com/in/aman-raj-6168b616a for more.
📌Follow https://www.linkedin.com/in/aman-raj-6168b616a for more.

Credit - Samson O. Sanyaolu .

#dsa #dsacoding #leetcode #github #datastructures #technology #webdevelopment #datastructuresandalgorithms #sheet #coding .