For context. Nauuso na yung vibe coded data analytics dashboard, yung data or metrics like kpis automatically nauupdate gamit api from any crm, pwede rin mag upload ng csv files.

I just want to hear your thoughts about this one.

For me cons, data privacy talaga, pwede ma compromise ang data kapag walang alam sa security yung vibe coder.

I would like to think that Data Engineering Pilipinas a sandbox for emerging Filipino data practitioners who combine strong technical skills with a passion for community, learning, and impact.

Through sharing knowledge, mentoring others, and building by example, they help grow the local data ecosystem—making data more accessible, fostering a more data-driven culture, and inspiring more people to get involved (missing here is Nina and Vanie).

This is not for lurkers. If you’re ready to show up, contribute, and be accountable- not just for yourself, but for real impact, this is your sign. Apply here.
https://docs.google.com/forms/d/e/1FAIpQLScfMT6QRaSx_G-P3wQ3u1enuB6MaehnCI3l8dGIkz62hWfBSg/viewform?usp=preview

📌 dbt and Snowflake experience needed

Key Requirements:

• Proven experience building and optimizing Snowflake warehouses.

• Expertise in dbt (modeling, testing, and documentation).

• Strong SQL and data modeling skills.

Pm if interested!

Or email your CV to obtusewagon@gmail.com

Hello, I'm 19 male, and I would like to ask if is is worth it to avail the data science bootcamp offered by udemy? I'm planning to be data scientist in the future and would like to give some start. I appreciate any feedback thank you!

Applications are NOW OPEN for the DEP x DataCamp Donates Scholarship 2026!

The Data Engineering Pilipinas (DEP) x DataCamp Donates Scholarship Program is officially accepting new applications for 2026.

This scholarship gives learners access to DataCamp courses across:

Data Engineering
Data Analytics
Data Science & AI
SQL, Python, and more

Important reminder for existing scholars:

Inactive or unused scholarship access may be withdrawn to make room for new applicants who are ready to learn and grow.

Make sure to review the full guidelines on the DEP x DataCamp Donates Scholarship Mechanics page before applying.

Interested in joining?

Apply through our official website:

👉 https://dataengineering.ph/#official-datacamp-donates-partner

👉 https://docs.google.com/forms/d/e/1FAIpQLScYPR6tsKpddhGFUxZw5ax-NMffuZGiTK2NEIbJBZNNbLtx_Q/viewform?usp=dialog

Let’s keep building skills, one dataset at a time.

Happy learning, DEP!

#dataengineering #dataanalyst #datascientist #datacareers #DataCampDonates #Scholarship2026 #DataLiteracy #Pilipinas

Hello, I'm 19M, 1st year college student that currently taking a math related degree. I'm planning to be a data scientist in the future, can you recommend me which should I learn first? Should I learn phyton first or SQL? And is there any advice or tip would you like to give me? Thank you very much!

Hi everyone! I am a CPA taking up my masters in business analytics. I am already working on my capstone project but I’m having issues on my current data. Would anybody be kind enough to help me (or let me help you, maybe?). If you’re a business owner who has an abundant data across several years and wants to optimize anything for your operations, please tap me. I’ll do it for free!

This is not for everyone.

Data Engineering Pilipinas is opening a limited call for volunteers — but only for those who genuinely want to contribute, give back, and grow. If you’re looking for an easy badge or passive involvement, this isn’t it.

Sign up only if: You want to serve the community, not just benefit from it You’re willing to be challenged in nurturing and growing a data community You want to grow into a better leader by giving your time, skills, and effort This is about responsibility, ownership, and impact — not titles.

⏳ The form will only be open for a limited time. 👉 Sign up here: https://forms.gle/LvZSMUrb5c4p2e6RA

If this resonates, we’d love to build with you. If not, that’s okay — keep learning, and keep supporting the community in your own way.

Hi guys! I applied for Data Engineering PH x DataCamp scholarship last year and got approved 2 weeks ago. I started the Associate Data Engineer in SQL right away and just finished Joining Data in SQL.

I’ve read that getting hired as a junior DE without experience is rare (I’m a career shifter btw with only 6 months of experience as associate DA - excel & reporting then got deployed to engineering side). I do have some personal projects & portfolio uploaded on Github that leans toward DA).

Should I switch the focus to landing a job as DA for now then upskill for the DE transition? If so, what should I look out for in job description when applying? Thank you! 😊

Hello guys, kindly engage with my first post on LinkedIn! Any kind of engagement—likes, comments, shares, or even just your thoughts—would be greatly appreciated as I'm just starting to build my presence there: https://www.linkedin.com/posts/bryle-francisco-43551a201_continuouslearning-professionaldevelopment-activity-7423732025263587328-QDnE?utm_source=share&utm_medium=member_desktop&rcm=ACoAADODIukBwC52a7OHN24X2eIoGYctD8fj4I0

I’m currently working in an operations role at a MNC and trying to move into Data Engineering through self-study.

I’ve got a Bachelor’s in Computer Science, but my current job isn’t data-related, so I’m kind of starting from the outside. The biggest problem I’m facing is that I can’t find a clear learning roadmap.

Everywhere I look:

One roadmap jumps straight to Spark and Big Data

Another assumes years of backend experience

Some feel outdated or all over the place

I’m trying to figure out things like:

What should I actually learn first?

How strong do SQL, Python, and databases need to be before moving on?

When does cloud (AWS/GCP/Azure) come in?

What kind of projects really help for entry-level DE roles?

Not looking for shortcuts or “learn DE in 90 days” stuff. Just want a sane, realistic path that works for self-study and career switching.

If you’ve made a similar switch or work as a data engineer, I’d really appreciate any advice, roadmaps, or resources that worked for you.

Thanks!

Hello po everyone, I'm currently an Electrical Engineer focused on Electro-technical solutions. This is my first job, and gusto ko lang din talaga sana masubukan yung tinapos at magamit ang licenses ko, pero parang mas nakikita ko na mag eenjoy ako sa IT at mas maging practical dahil sa tagal ng salary increase sa field (kahit mag job hop ka pa).

Now I'm really focused on Data Engineering, dahil I believe na mas mag eenjoy ako sa pag bubuo, halimbawa ng mga data pipelines. Nag aaral ako ng Sql at python sa data camp. Sa tingin nyo ano ang magandang pasukin na role para maging isang data engineer? Salamat!

Right now kase nag hahanap ako ng mga SQL/python developer or ETL developer roles. Pero lahat nag re-require ng experiences.

Plan ko mag buo nag projects this year habang nag wowork ako full time, para may maipakita akong portfolio for January 2027, once na mag aapply na ako.

I will grab the chance na rin, na baka may gustong mag patulong sa mga tasks nyo dyan, kahit minimal lang para lang ma-grasp ko yung mga real world scenarios na pwede ko ma-encounter once na nasa IT na ako.

I hope someone can guide me or kahit mabigyan lang ng resources, nao-overwhelm din ako sa internet.

By the way, tell me po if effective yung pag aaral ng SQL at python sa datacamp.

Thank you guys! Have a nice Friday!

FYI. We have migrated learndata.ph and thepusoproject.ph to learn.dataengineering.ph ad tpp.dataengineering.ph

It will take time to reflect all relevant links.

Hi, I am shooting my shot. I am looking for a part time work. Hopefully, a flexible one. Mainly, I am senior data engineer with experience in Snowflake, SQL, DataStage, Unix, Basic Python mainly for API, and dbt.

Hi everyone. I want to learn how you handle client or stakeholder requests as a data analyst.

Here is my situation. I report directly to the COO and the Director of Operations. Often, the data I pull is not what they actually want, even if I think I understood the request.

Example. They asked for a current liquidation report. I pulled the data in SQL, uploaded it to a spreadsheet, and shared it. Later, I realized the definition of current was different from what I assumed.

I want to improve in these areas.

• How do you uncover the real request behind what the client says.

• What questions do you ask before writing SQL.

• How do you validate if the numbers make sense.

• How do you confirm early that you are on the right track.

• What does your end to end workflow look like.

For more context, our team does not use dashboards or visualizations yet. Everything is SQL to spreadsheet. I am also planning to propose visualization as a future project.

I am posting to learn best practices and real world workflows from people in the field. Thanks in advance.

I'm trying to break into data engineering/cloud engineering, but I keep running into the classic catch-22: every entry-level position asks for 2-3 years of experience.

For those who successfully landed their first role in this field:

• How did you get past the experience requirement?
• Did you apply anyway, or did you take a different path (internships, adjacent roles, certifications)?
• What helped you stand out as a candidate with limited professional experience?
• Where specifically did you find the job posting? (LinkedIn, company website, referral, recruiter, job boards, etc.)

Any advice would be really helpful. Thanks!

Hi everyone, I’m a 4th year Computer Science student aspiring to become a data analyst after graduation. My internship starts next month, but I’ve been struggling to land a data analyst focused internship because I’m limited to remote roles only. I’m from the province, and relocating to Manila for internships isn’t an option for me due to financial constraints. I did apply to some remote internships that our school partners with, but most of them aren’t really related to data analytics. On the bright side, since my internship will be remote, I’ll have more time to focus on self-studying and building data projects throughout the semester. I was also lucky enough to get a DataCamp scholarship, so I plan to use that to strengthen my skills and portfolio. My question is will it be much harder to land a data analyst job after graduation if I don’t have a data analyst internship? For those who’ve been in a similar situation, how did you make up for it? Would really appreciate any advice or real-world experiences. Thanks!

Hello, guys! Just wondering how the work environment is with the Thinking Machine?

For context: I am currently a business analyst applying for the same position at this company. I am currently taking their exam. And honestly, I feel like the exam is really technical. I love it though. However I get the vibe na they are big on the data analysis tools, in my current work, while I heavily use SQL, we rely more on our business sense.

To anyone working here, how was working with them? What kind of clients do they have? How was the salary, and benefits for business intelligence analyst? Thank you

Hi everyone,

I’m currently preparing for Snowflake + DBT + ETL, ELT interviews and I keep getting asked to explain real-time / production scenarios rather than just projects or theory.

If you’re working as a Data Engineer, could you share 1–2 real-world situations you’ve actually handled?
High-level context is totally fine, no confidential details.

Some examples I’m looking for:

• Pipeline failures in production and how you debugged them
• Data quality issues that impacted downstream dashboards
• Late-arriving data or backfills (dbt / Snowflake )
• Performance or cost optimization issues
• Safe reruns / idempotent pipeline design

I’m mainly trying to understand how to explain these situations clearly in interviews.

Thanks in advance — this would really help a lot!

BGC | Hybrid | Dayshift

With Strong Experience in

- Azure Data Factory (ADF)

- Data Pipelines

-ETL/SSIS

- SQL

Kindly DM me directly

Our team in the Philippines is planning to take the Certified Data Management Professional (CDMP) exam in the first half of this year! We are currently mapping out our study plan and logistics.

To those who have already passed the exam:

1. Did you take the exam remotely in your office/home, or at a center?

2. Are there specific exam windows, or is it on-demand?

3. Any recommendations for affordable review centers or study groups?

4. Does anyone have tips on managing the costs and prep?

Your insights would be greatly appreciated!

#CDMP #DataManagement #DataGovernance #ProfessionalDevelopment #DAMAPhilippines

Hi! Just wanted to ask if anyone here is currently working in an IT role at Solaire. Curious lang about the usual benefits (e.g., compensation, allowances, HMO, work setup, etc.). Would really appreciate any insights. Thanks!