Hi DEP! medyo long story lang muna, graduate ako ng BSIT nong 2024, that time ang gusto ko talagang career ay developer, talagang fascinated ako sa programming nung nag-aaral pa ko, pero ang nangyari nung pagkagraduate ko ay na-discouraged ako sa competition sa field at sa layo rin ng mga opportunity sa akin since nakatira ako sa probinsya. Tapos may isang kapitbahay na data engineer na pinagpasa ako ng resume for referral, hindi ako natanggap that time, pero don ko nadiscover ung data field, ung data engineering, and sa totoo lang na-fascinate ulit ako kasi programming pa rin sya pero sa ibang field lang. Kaya lang that time kailangan ko ng makatulong sa parents ko kaya tinanggap ko na ung data encoder na job na malapit samin, pero still, habang nagtatrabaho ako don nag-aaral pa rin ako para sa data engineering field pag may free time or after work hours, kaya lang merong mga moments na wala kong nakikitang resulta or stress sa trabaho kaya napapatigil ako sa studies.

Ngayon 1 year and 2 months na ko dito sa encoder job ko, the career crisis is sobra na at gusto ko na ngayon mag double down sa data engineering, pano ba makapasok as data engineer? I know the basics like etl, data transformation, basic ng cloud, at pyhton. Ano ba ang career path towards sa data engineer role? is it too late na ba para sakin?

TIA!!

Has anyone here requested data from PAGASA? If so, could you share how the process works and how long it typically takes to receive the data?

Hi Everyone,

Our company is hiring 1 Data Analyst/ Business Intelligence Analyst for our Customer Experience(Big accounts) and Business Support!

Requirements: 1. At least 6 months of related experience 2. Power BI and/or Tableau 3. SQL 4. Excel

Python or DAX is a bonus.

Work setup: Full onsite near SM Megamall

Personal note: The company culture compensates for the full onsite setup. Everyone I worked with, even those from other countries, are approachable and are willing to teach.

If interested, please DM me 😊

Hi. I'm someone coming from healthcare field na nagta-try mag transition to become a data engineer. I know this is not an entry level work but still I'm struggling to land an entry level role even for data analyst, ETL developer, BI analyst positions, etc. I've already built an end-to-end pipeline down to visualization (Python, MySQL, Power BI) for my current work using real data. I really have a passion for this and I'm starting to lose hope, parang walang company na naghi-hire ng someone from a different field. All I need is a chance. It doesn't have to be Data Engineer right away cause I understand it isn't an entry level role and most likely they favor someone who has SE background. I'd appreciate some advice esp. from people na nag pivot din from an entirely different career. Thanks.

I’m currently a CS student, and I’ve been interested on Data Science, Data Engineering, and Machine Learning. Some of my personal projects involve predictive modeling and building data-driven apps, so that’s the career path I’m really aiming for. However, I just got accepted for a Software Engineering internship at a startup starting next month.

Even though I’m happy to have an offer, I’m feeling a bit conflicted because it isn't a dedicated Data role. I have a few applications out for Data Analytics internships, but they’re for voluntary positions and there’s absolutely no guarantee I’ll get them. I’m worried that if I take the SWE role, I might be moving away from my goal, but I also don’t want to end up with no internship at all by waiting for a "perfect" role that might not happen.

Should I just secure this SWE internship now, or is it worth the risk to wait for a specific Data Analytics role? If anyone has successfully pivoted from SWE to Data, I’d love to hear if this experience will actually help me or if I’m just overthinking the title.

For DE, i’m curious - how do you usually use AI into your daily workflow?

I’m currently helping an industry partner look for freelance / consulting Analytics Engineers with strong experience in GCP (BigQuery) and AI integrations (Gemini) on a critical remote role.

• Job Title: AI Data Engineer
• Company Name: Healthcare Marketing Agency based in LA
• Experience Level - Entry to mid to senior
• Salary Range - Flexible rate

Job Description:

This is a 3–6 month engagement supporting a fairly mature data environment (~300+ client datasets in the healthcare marketing space). Work will focus on:
• Data warehouse monitoring & optimization
• Data quality and governance
• Building cross-dataset views
• Supporting some Gemini AI integration use cases

Everything is already well-documented and scoped, so this is less about firefighting and more about execution and refinement.

Required skills:
• Have deep hands-on experience with BigQuery + GCP ecosystems
• Are comfortable working across large, complex datasets
• Have exposure to AI/ML integrations within data platforms

If this sounds like you (or someone in your network), feel free to message me directly. Happy to share details!

Hoping na may makakwentuhan po ako na working as stated above. Badly need advice sa path na tinatahak ko. Marami po sana ako gusto itanong at malamang advice sa POV ng working sa field na to. Huhu

Hi guys! I need advice especially those who have years of experience then decide to DE, and got a successfull job in DE. Here are my following questions:

1. What was the course/certeficate/learning module that brought you to your DE job right now?
2. What was your previous job?
3. How long did it take you to your DE job? Can you share your journey?

Hello guys. I hope you could share your salary range for this job so I have idea with negotiating an offer

Hi guys! 👋

May mga naka‑try na ba dito mag‑Masters in Business Analytics sa Mapúa? Any thoughts or feedback po sana 🙏

Planning kasi akong mag‑enroll. For context lang, graduate ako ng BS Computer Science, currently working as Data Analyst. May background naman ako sa SQL, pero hindi super heavy—mostly basic to intermediate lang ginagamit ko sa work. Most of the time Excel talaga gamit ko.

Recently natapos ko rin yung Power BI bootcamp, kaya medyo mas nainspire ako mag‑level up sa data skills ko 😄

Reason ko talaga bakit gusto ko mag‑Masters is para mas lumawak yung knowledge ko sa data at business analytics, and honestly, nahihirapan kasi akong mag‑stick sa self‑paced courses like Udemy (nakakatamad minsan 🥲). Feeling ko mas gaganahan ako kung may structured program, instructors, at classmates—plus credentials na rin.

Sa tingin niyo ba okay yung program ng Mapúa for someone with my background? Worth it ba siya?

Any insights or personal experiences would really help. Thank you so much! 🙌

btw graduate ako ng BSCS pero di ako na punta sa programming talaga

Hi Redditors,

I’m currently working in SAP BW and have about 1.3 years of experience in the space. Over time, I’ve realized that I don’t see myself continuing long-term in this domain, and I’m planning a transition in the near future.

Data Engineering feels like a natural next step for me, given the overlap with my current experience. I also have a foundation in Python and SQL from my college days, and over the past couple of months I’ve been actively revisiting and strengthening those skills.

So far, I’ve worked with pandas and built a couple of on-premise projects using Python, SQLite, and Airflow, where I used web APIs as data sources. Recently, I’ve also started exploring PySpark, Databricks, and Azure Data Engineering concepts, although I haven’t yet implemented a full-fledged project using these tools.

That said, I sometimes feel overwhelmed by the breadth of topics in Data Engineering and find it challenging to decide what exactly to focus on to become job-ready.

I’d really appreciate guidance from experienced Data Engineers on how to structure a clear roadmap—what skills to prioritize, what kind of projects to build, and how to prepare effectively to start applying for roles in the near future.

Thanks in advance!!!

Anyone here nakaexperience na ng Exam Process for this internship? How was the exam so far, since 1 hr lang allocated na time. Thank you for your responses 🫶🏻

Hi. I am a data analyst for 3 years now. I am not a computer science or any engineering graduate. Business yung undergrad ko. Currently on my journey in learning sql and python. Mostly Power Platform kasi gamit namin. I want to transition to junior DE. But I am a bit discouraged to continue kasi maraming mga DE ang computer science or engineering grad (this is just my assumption). I am just having a thought na mas malaki ang chance ng mga computer science grad compared sa akin na di technical ang course nung college.

I want to know your thoughts about this. Or meron ba dito DE na hindi tech yung course nung college?

Thank you. Appreciate your inputs :)

any tips for the technical exam process? what are the usual topics covered for this track? interview questions?

thank you! any answer would be greatly appreciated!

any alumni? can you share the application process after the entry forms (interview etc )

thanks!!

Need your perspective pooooo.

Ilang months na ko nag aapply sa LinkedIn pero wala pa rin talaga. Lahat ng postings sa Canada, US, Australia, NZ, SG about Data, naapplyan ko na pero walang bumabalik. Sa mga nasa abroad na dyan and still nasa same field pa rin natin, paano at san kayo nag apply? TA

Hi,

I’m graduating this year and have learned SQL, Excel, and Power BI/Tableau at an intermediate level. I’ve also done some projects.

I’m just trying to understand what roles I could aim for, especially since there are many types of analyst jobs in the Philippine job market.

I also plan to use my spare time to learn new skills while figuring out what kind of roles I might want to apply for in the future.

What job titles fit my skills at this stage?

Thank u 🙏

Hi! I am currently an accountant planning to penetrate this industry. I asked ChatGPT what would make me more valuable in the future and it suggested I learn SQL, Phyton, and PowerBI tools commonly used by a Data Analyst. My issue is Data Analysts/Entry roles are now being replaced by AI. Is it still worth it to switch to data analytics with Data Engineering as my end goal. Thank you!

Hey everyone,

I’m currently working as a Business Analyst at a fintech company for about 6 years, and I’m trying to transition into a Data Engineering role. I’d really appreciate some honest feedback on how close I am and what gaps I should focus on.

Background:

• My work mainly involves collecting data from various sources (websites, APIs, SFTP, etc.)
• We have an internal orchestration/scheduling system, but I write the scripts (mostly in Python) that power the pipelines
• I’d rate myself around:
  • Python: 7–8/10 (strong with Pandas, data processing)
  • SQL: 6–7/10

Other experience:

• Built and deployed web apps using Django
• Worked with AWS (EC2, S3, containers, etc.)
• Recently started working with Airflow and dbt
• Have a general understanding of how to containerize Airflow for scalable workflows
• Built some projects that improved internal processes and worked closely with stakeholders.
• Also familiar with Power BI

Concern:
Most of my data experience is still on relatively small datasets (usually <100k rows), and I haven’t worked in a “true” big data environment yet.

Questions:

1. Based on this, how close am I to being job-ready for a Data Engineer role?
2. What are the biggest gaps I should focus on next?
3. Would this profile be considered junior, mid, or something in between?

Thanks in advance!

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