Data Pipelines Engineer for Analytics & Data Quality

FPT Asia Pacific Pte Ltd

Singapore

On-site

SGD 90,000 - 130,000

Full time

8 days ago

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Job summary

FPT Asia Pacific Pte Ltd is seeking a Data Engineering & Analytics Engineer to own the data lifecycle from source systems through ingestion, transformation, modelling, quality, and serving. You will build pipelines for ETL/ELT, ingest data from on-prem, APIs, databases, SaaS, files, streams, and cloud services.

You will collaborate with Logging & Data Platform Engineers and software teams to define reliable data interfaces and products, enabling dashboards, analytics, and ML use cases.

Qualifications

3–5 years of experience in data engineering or related discipline.
2+ years building production-grade data pipelines.
Experience with data extraction, ingestion, ETL/ELT, transformation, and data quality.
Experience with AWS and/or Azure native data capabilities.
Experience working in hybrid on‑prem and cloud environments; CI/CD and IaC is a plus.

Responsibilities

Design, build, and operate production-grade data pipelines for data extraction, ingestion, transformation, and loading (ETL/ELT).
Ingest data from on-premises systems, enterprise applications, APIs, databases, SaaS platforms, files, streams, and cloud services.
Develop batch, incremental, CDC, streaming, and event-driven ingestion patterns.
Create data models and schemas for enterprise, operational, and asset data.
Collaborate with platform and software teams to define data interfaces and products.

Skills

Data engineering

Cloud data engineering

Analytics engineering

Software engineering

AWS

Azure

Tools

AWS

Azure

Job description

You will collaborate with Logging & Data Platform Engineers and software teams to define reliable data interfaces and products, enabling dashboards, analytics, and ML use cases.

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