Data Engineer (ETL/ELT) (Finance Domain)

FPT ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

FPT Asia Pacific PTE. LTD. is seeking an experienced data/engineering professional to design and maintain data pipelines, ETL/ELT workflows, and analytics platforms to power advanced search and retrieval capabilities.

You will collaborate with data teams, automate deployments, monitor systems, and optimize storage to ensure high performance. The role requires deep hands-on experience in Python, AWS, Kubernetes, and modern data platforms like Snowflake and Databricks, along with strong testing

Qualifications

• Degree in Computer Science or IT or related field.
• At least 5 years in software or data engineering with Python.
• Experience with unit and integration testing.
• Familiarity with DevOps and Agile methodologies.
• Experience with AWS and Kubernetes and data platforms.
• Experience with orchestration tools like Airflow, Dagster, Prefect, Temporal.
• Familiarity with GitHub workflows and Datadog.
• Strong written and verbal communication.
• Agile, fast learner and adaptable.

Responsibilities

• Develop and maintain data pipelines and ETL/ELT/analytics 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 others to ensure sprints are planned 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

DevOps

Agile

Communication

Fast learner

Education

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

Tools

AWS

Kubernetes

Snowflake

Databricks

Apache Spark

Apache Hive

Delta Lake

Apache Iceberg

Airflow

Dagster

Prefect

Temporal

GitHub Workflows

Datadog

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.