ART 1468 - Data Engineer

FPT Asia Pacific Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

FPT Asia Pacific Pte Ltd in Singapore is seeking an experienced Data/Software Engineer to design and maintain data pipelines and analytics workflows. You will collaborate with data teams to automate deployment, monitor systems, and optimize storage for performance.

The role requires 5+ years in data engineering with Python, strong testing experience, and familiarity with AWS, Kubernetes, and modern data platforms. You will participate in Agile sprints and contribute to DevOps practices.

Qualifications

• Bachelor's degree in Computer Science/Information Technology or related field.
• Minimum 5 years hands-on experience in software or data engineering with Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Experience with AWS and Kubernetes (K8s).
• Familiarity with data platforms such as Snowflake, Databricks, Apache Spark, Apache Hive, open table formats (Delta Lake, Apache Iceberg), and vector databases.
• Experience with orchestration tools such as Apache Airflow, Dagster, Prefect, and Temporal.
• Familiarity with GitHub workflows and Datadog.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.

Responsibilities

• Develop and maintain data pipelines and ETL/ELT/analytics engineering workflows to support advanced search and retrieval capabilities.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.
• Work closely with data engineers and relevant parties to ensure sprints are planned out properly and completed timely.
• Perform BAU monitoring, investigations and resolutions.
• Assist with data governance and data management initiatives.
• Production and application support from a day-to-day basis.

Skills

Python

Data engineering

Unit testing

Integration testing

DevOps

Agile

AWS

Kubernetes

Snowflake

Databricks

Spark

Hive

Delta Lake

Iceberg

Vector databases

Airflow

Dagster

Prefect

Temporal

GitHub workflows

Datadog

Communication

Adaptability

Education

Bachelor's degree in Computer Science/Information Technology or related field

Tools

Airflow

Dagster

Prefect

Temporal

Datadog

GitHub

Job description

Key Responsibilities:

• Develop and maintain data pipelines and ETL/ELT/analytics engineering workflows to support advanced search and retrieval capabilities.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.
• Work closely with data engineers and relevant parties to ensure sprints are planned out properly and completed timely.
• Perform BAU monitoring, investigations and resolutions.
• Assist with data governance and data management initiatives.
• Production and application support from a day-to-day basis.

Skillset Requirements

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 5 years of hands-on experience in software or data engineering with proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Experience with AWS and Kubernetes (K8s).
• Familiarity with data platforms such as Snowflake, Databricks, Apache Spark, Apache Hive, open table formats (Delta Lake, Apache Iceberg), and vector databases.
• Experience with orchestration tools such as Apache Airflow, Dagster, Prefect, and Temporal.
• Familiarity with GitHub workflows and Datadog.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.