🌟 We're Hiring: Senior Data Engineer! 🌟

We are looking for a talented and detail-oriented Senior Data Engineer to join our dynamic team in Singapore. In this role, you will design, build, and maintain scalable data pipelines and infrastructure to support business analytics and decision-making. If you have a passion for data engineering and thrive in a collaborative environment, we want to hear from you!

📍 Location: Singapore, Singapore
⏰ Work Mode: Work from Office
💼 Role: Senior Data Engineer

Key Responsibilities

Design data pipelines, architectures, models and reusable data capabilities.
Apply engineering practices to improve reliability, security, observability and performance.
Evaluate technologies and contribute to data architecture and engineering standards.
Promote automated testing, code review, CI/CD and infrastructure-as-code.
Work with engineers, Product Managers, Data Scientists, analysts and users.
Provide technical leadership through design reviews, mentoring and knowledge sharing.

Requirements

Strong software engineering skills with Python and SQL.
Experience building and operating complex production data systems.
Strong enterprise data architecture and engineering experience.
Experience with data pipelines, data modelling, data warehouses, data lakes and lakehouse architectures.
Experience with AWS and modern data platforms such as Redshift, Snowflake, Databricks or BigQuery.
Experience with data orchestration, transformation and modelling.
Strong understanding of testing, CI/CD, monitoring, troubleshooting and data quality.

Good to Have

Apache Airflow or equivalent.
Apache Spark.
AWS data services and cloud infrastructure.
Tableau, Power BI or equivalent.
Infrastructure-as-code, data observability, metadata, catalogue or lineage.
Experience with sensitive or regulated data and technology/data for public good.

Keen to shape the future of data? 🚀 Apply now and be part of our innovative team!

Habilidades requeridas

PythonSQLData pipeline and architecture designBuilding and operating production data systemsEnterprise data architecture and engineeringData modelingData warehouses, data lakes and lakehouse architecturesAWS and cloud data servicesModern data platforms (Redshift, Snowflake, Databricks, BigQuery)Data orchestration, transformation and workflow (e.g., Airflow)CI/CD, automated testing and infrastructure-as-codeMonitoring, observability, troubleshooting and data qualityTechnical leadership, mentoring and design reviewsExperience with sensitive or regulated data

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