Senior Data Platform Engineer

Yaqeen Institute; Malaysia; Sur place; MYR 120 000 - 200 000; Plein temps

Résumé du poste

Yaqeen Institute seeks a seasoned Data Engineer to design, build, and operate a data platform powering analytics, research, and product decisions. You will own ingestion, transformation, warehouse layers, and governance, partnering with analytics, product, and platform teams.

You will model complex datasets, build resilient pipelines, and manage cloud infrastructure, implementing privacy controls and data contracts across the organization.

Qualifications

• Advanced SQL and Python used for building and optimizing data pipelines.
• Experience with modern data warehouses and cloud platforms.
• Hands-on experience with dbt and orchestration tools.
• Knowledge of data contracts, governance, privacy, and anonymization.

Responsabilités

• Model and structure data for analytical and operational use, owning the transformation layer and its tooling, including dbt
• Design data models that are clear, well documented, and easy for downstream teams to build on
• Define and enforce data contracts and schema standards in collaboration with upstream and downstream engineering teams
• Design and build scalable batch and streaming data pipelines across ETL, ELT, and change data capture patterns
• Orchestrate and schedule workflows using tools such as Airflow, Dagster, or Prefect
• Ensure pipelines are observable, recoverable, and well instrumented, with monitoring and data quality checks that catch issues before they reach consumers

Connaissances

Advanced SQL

Advanced Python

Cloud platforms

Data warehousing platforms

dbt

Airflow/Dagster/Prefect

Terraform/Kubernetes

Data contracts & governance

Data privacy/anonymization

SaaS/startup experience

Outils

Terraform

Kubernetes

Datadog

Sentry

Airflow

Dagster

Prefect

Description du poste

Yaqeen Institute seeks a seasoned Data Engineer to design, build, and operate a data platform powering analytics, research, and product decisions. You will own ingestion, transformation, warehouse layers, and governance, partnering with analytics, product, and platform teams.

You will model complex datasets, build resilient pipelines, and manage cloud infrastructure, implementing privacy controls and data contracts across the organization.