Contract Data Engineer: Build a Global Research Platform

Yaqeen Institute

Malaysia

Sur place

MYR 140 000 - 230 000

Plein temps

14 jours+

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Résumé du poste

Yaqeen Institute seeks a seasoned Data Engineer to join our Engineering team for a 6-month contractor role. You will design, build, and operate the data platform powering analytics, research, and product decisions across the organization.

This hands-on position requires data modeling, resilient pipelines, and managing cloud infrastructure. You will own ingestion through to the warehouse, set data standards, and collaborate with analytics, product, and platform teams to improve reliability,

Qualifications

  • Experience working with financial and payment data.
  • Exposure to payment APIs and automated reconciliation.
  • Proficient in SQL and Python for data pipelines.

Responsabilités

  • Model and structure data for analytics and operational use, owning the transformation layer.
  • Design data models that are clear, well documented, and easy for downstream teams to build on.
  • Define and enforce data contracts and schema standards with upstream and downstream teams.
  • Design and build scalable batch and streaming pipelines across ETL, ELT, and CDC patterns.
  • Orchestrate and schedule workflows with Airflow, Dagster, or Prefect.
  • Ensure pipelines are observable, recoverable, and instrumented with data quality checks.

Connaissances

Advanced SQL
Advanced Python
Data modeling
Data governance
Data quality checks
ETL/ELT development
Cloud concepts

Outils

Airflow
Dagster
Prefect
dbt
Snowflake
BigQuery
Databricks
Redshift
Terraform
Kubernetes

Description du poste

Yaqeen Institute seeks a seasoned Data Engineer to join our Engineering team for a 6-month contractor role. You will design, build, and operate the data platform powering analytics, research, and product decisions across the organization.

This hands-on position requires data modeling, resilient pipelines, and managing cloud infrastructure. You will own ingestion through to the warehouse, set data standards, and collaborate with analytics, product, and platform teams to improve reliability,

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