Python Developer (UnitTest_DevOps_AWS_K8s_Snowflake_Spark_Hive_Airflow_DataDog)

MALTEM ASIA PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading tech firm in Singapore is seeking a Senior Python Developer to develop and maintain data pipelines for a Wealth Management Client. The ideal candidate should have 3 to 8 years of experience in Software or Data Engineering, with strong proficiency in Python, and familiarity with DevOps practices and Agile methodologies. Excellent problem-solving skills are essential. This role offers opportunities to work with modern data platforms and tools.

Qualifications

• 3 to 8 years of relevant working experience in Software or Data Engineering.
• Strong software engineering skills.

Responsibilities

• Develop and maintain data pipelines and ETL/ELT processes.
• Collaborate with data teams to understand requirements.
• Optimize data storage and troubleshoot issues.

Skills

Proficiency in Python

Unit and integration testing

DevOps practices

Agile methodologies

Analytical and problem-solving skills

Education

Degree in Computer Science/Information Technology

Tools

AWS

Kubernetes

Snowflake

Apache Spark

Apache Hive

Apache Airflow

Dagster

Prefect

GitHub

Datadog

Job description

Maltem Asia is seeking a Senior Python Developer for a Wealth Management Client based in Singapore.

Responsibilities

• Develop and maintain data pipelines and ETL/ELT processes, and ensuring maintainability through unit and integration testing.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.

Must Have Skillsets

• Possess a degree in Computer Science/Information Technology or related fields.
• Between 3 to 8 years of relevant working experience in Software or Data Engineering with STRONG proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Strong software engineering, analytical and problem-solving skills.

Good-To-Have

• Experience in:
• AWS
• Kubernetes (K8s)
• Familiarity with data platforms such as:
• Snowflake
• Apache Spark
• Apache Hive
• Orchestration tools like:
• Apache Airflow
• Dagster
• Prefect
• Familiarity with GitHub workflows and Datadog.