Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 3 hours ago

M30 - Data Engineer

FPT Asia Pacific Pte Ltd235 open roles

Where
Singapore
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowM30 - Data EngineerFPT Asia Pacific Pte Ltd · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on FPT Asia Pacific Pte Ltd's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. FPT Asia Pacific Pte Ltd postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 3 hours ago

FPT Asia Pacific Pte Ltd median: 1 days open

The posting

Role Overview

We are seeking an experienced Senior Data Engineer to design, develop, deploy and maintain scalable, reliable and secure data pipelines and reusable data products using AWS and Databricks.

The successful candidate will provide technical leadership across data ingestion, transformation, modelling, quality, orchestration, monitoring and performance optimisation to support analytics, reporting and AI/ML workloads.

This is a hands-on technical role requiring strong expertise in cloud-based data engineering, lakehouse architecture, production pipeline operations and engineering best practices.

Key Responsibilities

  • Lead the design, development and implementation of scalable batch and streaming data pipelines using AWS and Databricks.
  • Design and maintain lakehouse architectures using Bronze, Silver and Gold data layers, Delta Lake and reusable data models.
  • Develop reliable data ingestion processes from databases, APIs, files and event streams, including incremental loading and Change Data Capture (CDC).
  • Implement automated data quality checks, schema validation, reconciliation and anomaly detection to ensure data accuracy and consistency.
  • Build and manage workflow orchestration using Databricks Workflows, Lakeflow and relevant AWS services.
  • Implement CI/CD pipelines, automated testing and Infrastructure as Code (IaC) to support efficient development and deployment.
  • Establish data governance practices, including metadata management, data lineage, access controls and data classification.
  • Monitor pipeline performance, reliability and data freshness through logging, dashboards, alerts and operational metrics.
  • Troubleshoot production issues, perform root-cause analysis and implement preventive measures to improve system stability.
  • Optimise Apache Spark and SQL workloads, storage configurations and processing performance to improve efficiency and manage cloud costs.
  • Implement cloud security best practices, including IAM, encryption, secrets management, audit logging and secure data sharing.
  • Review technical designs and code, establish engineering standards and mentor junior engineers.
  • Collaborate with data scientists, analysts, architects, product teams and business stakeholders to translate requirements into technical solutions.
  • Maintain technical documentation, data models, architecture decisions and operational procedures.

Requirements

Education & Experience

  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems or a related discipline.
  • 6–10 years of relevant experience in data engineering or software engineering.
  • Minimum 2 years of hands-on experience with cloud-based data platforms.
  • Proven experience designing, developing and maintaining production-grade data pipelines.
  • Demonstrated technical leadership in solution architecture, code reviews, engineering standards or mentoring.

Technical Requirements (Must-Have)

  • Strong proficiency in Python, PySpark and SQL, including complex data transformations, distributed processing, query optimisation and debugging.
  • Hands-on experience with Databricks, Apache Spark and Delta Lake in production environments.
  • Strong AWS data engineering experience with services such as S3, Glue, Lake Formation, IAM, KMS, Lambda, Step Functions, EventBridge, CloudWatch, Redshift and Kinesis/MSK.
  • Experience designing and implementing data lake or lakehouse architectures, including Bronze, Silver and Gold data layers.
  • Strong understanding of data modelling, dimensional modelling and reusable curated datasets.
  • Experience with incremental data ingestion, CDC, backfills, replay processing, idempotency and recovery mechanisms.
  • Experience implementing automated data quality validation, schema enforcement, reconciliation, metadata management and data lineage.
  • Hands-on experience with workflow orchestration, Git, CI/CD and Infrastructure as Code tools such as Terraform.
  • Experience implementing monitoring, logging, alerting and incident management for production data pipelines.
  • Good understanding of cloud security, IAM, encryption, secrets management and data governance.
  • Ability to conduct technical design reviews, code reviews and provide engineering guidance.

Preferred Qualifications (Good-to-Have)

  • Experience with Databricks Unity Catalog, Lakeflow, Delta Live Tables, Auto Loader, Structured Streaming, Delta Sharing and Databricks Asset Bundles.
  • Familiarity with Apache Airflow, dbt, Kafka, AWS MSK/Kinesis and AWS DMS.
  • Experience with data products, data contracts, semantic layers, master data management or data mesh architecture.
  • Experience supporting machine learning datasets, feature engineering, feature stores or MLOps pipelines.
  • Experience working on Singapore public-sector projects, including IM8 compliance, data classification, VAPT and security assurance.

Relevant certifications such as:

  • Databricks Certified Data Engineer Professional
  • AWS Certified Data Engineer – Associate
  • AWS Certified Solutions Architect – Associate or Professional

Soft Skills

  • Strong analytical thinking, problem-solving and troubleshooting abilities.
  • Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
  • Ability to work collaboratively across engineering, analytics, data science, cybersecurity and business teams.
  • Strong ownership mindset with a focus on system reliability, maintainability and operational excellence.
  • Ability to translate business requirements into technical specifications and practical implementation plans.
  • Experience mentoring engineers and promoting engineering best practices.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against FPT Asia Pacific Pte Ltd's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on FPT Asia Pacific Pte Ltd's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    FPT Asia Pacific Pte Ltd's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.