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# ![@mycareersfeed Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1939369983903244288.png) @mycareersfeed MyCareerFeed

MyCareerFeed posts on X about azure, databricks, microsoft, looking for the most. They currently have XXX followers and XXX posts still getting attention that total XX engagements in the last XX hours.

### Engagements: XX [#](/creator/twitter::1939369983903244288/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1939369983903244288/c:line/m:interactions.svg)

- X Week XXX -XX%
- X Month XXXXX -XX%

### Mentions: X [#](/creator/twitter::1939369983903244288/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1939369983903244288/c:line/m:posts_active.svg)


### Followers: XXX [#](/creator/twitter::1939369983903244288/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1939369983903244288/c:line/m:followers.svg)

- X Week XXX +7.90%
- X Month XXX +35%

### CreatorRank: undefined [#](/creator/twitter::1939369983903244288/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1939369983903244288/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  [stocks](/list/stocks)  [countries](/list/countries) 

**Social topic influence**
[azure](/topic/azure), [databricks](/topic/databricks), [microsoft](/topic/microsoft), [looking for](/topic/looking-for), [cloud](/topic/cloud), [morgan stanley](/topic/morgan-stanley), [india](/topic/india), [snowflake](/topic/snowflake), [teradata](/topic/teradata), [finance](/topic/finance)

**Top accounts mentioned or mentioned by**
[@statsfeed](/creator/undefined) [@yourclouddude](/creator/undefined) [@timebokkaraa2](/creator/undefined) [@imtommitchell](/creator/undefined) [@thedatavidhya](/creator/undefined) [@morganstanley](/creator/undefined) [@mxtaverse](/creator/undefined) [@mariacorinaya](/creator/undefined) [@realdonaldtrump](/creator/undefined) [@idctechnologiescom](/creator/undefined) [@happiestminds](/creator/undefined) [@swiggy](/creator/undefined) [@zomato](/creator/undefined) [@htcinccom](/creator/undefined) [@sccom](/creator/undefined) [@jashim4truth](/creator/undefined) [@naliniskitchen](/creator/undefined) [@honesthomein](/creator/undefined) [@aquissearchcom](/creator/undefined) [@follextechnologycom](/creator/undefined)

**Top assets mentioned**
[Microsoft Corp. (MSFT)](/topic/microsoft) [Morgan Stanley (MS)](/topic/morgan-stanley)
### Top Social Posts
Top posts by engagements in the last XX hours

"🚀 Hiring Alert: Azure Data Engineer @ Allianz Services Allianz Services is looking for an experienced **Azure Data Engineer** to join their team ✅ Must-Have Skills: Azure Databricks & Microsoft Fabric Azure Data Factory (ADF) SQL & PySpark Modern data engineering best practices on cloud 📩 Interested candidates can send their resume to: vishnu.vijayan@allianz.com 🔁 Save & share this post to help it reach the right candidates"  
[X Link](https://x.com/mycareersfeed/status/1998082139573584076)  2025-12-08T17:27Z XXX followers, XXX engagements


"16 Azure Data Engineer Interview Questions You Must Know PySpark & Databricks: - Remove duplicates based on package_id - Filter records from last XX hours using event_time - Convert string timestamps to proper timestamp type - Read data from Azure Data Lake into Databricks - Handle null values across multiple columns dynamically - Optimize joins between large and small DataFrames - Implement caching and unpersisting strategies Delta Lake: - Safely append data to Delta Tables - Implement upsert (merge) logic Azure Data Factory: - Debug intermittent pipeline failures at midnight - Pass"  
[X Link](https://x.com/mycareersfeed/status/1998259818549907548)  2025-12-09T05:14Z XXX followers, XX engagements


"Morgan Stanley is hiring for a Data Engineer Associate (Data & Analytics)role in Mumbai India for experienced candidates with a **Bachelors/Masters degree. Youll work on modern data platforms (Snowflake Teradata advanced SQL Python DevOps Automation CI/CD) within the Finance Technology team building and optimizing large-scale data solutions. 📍 Role: Data Engineer Associate (Data & Analytics) 🏢 Company: Morgan Stanley 🎓 Qualification: Bachelors / Masters Degree 💼 Experience: Experienced (Data Engineering / SQL / ETL / Data Modeling) 📍 Location: Mumbai India 🔗 Apply here: Tag someone who"  
[X Link](https://x.com/mycareersfeed/status/1998299602110288000)  2025-12-09T07:52Z XXX followers, XXX engagements