Python Developer (UnitTest_DevOps_AWS_K8s_Snowflake_Spark_Hive_Airflow_DataDog)

MALTEM ASIA PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A technology consulting firm is seeking a Senior Python Developer for its Wealth Management Client in Singapore. The ideal candidate will have 3 to 8 years of relevant experience in Software or Data Engineering, with strong proficiency in Python and experience in developing data pipelines. Familiarity with AWS, Kubernetes, and Agile practices is advantageous. This role involves collaboration with data teams and optimization of data processes.

Qualifications

• 3 to 8 years of experience in Software or Data Engineering.
• Experience in data pipelines and ETL/ELT processes.
• Strong software engineering skills.

Responsibilities

• Develop and maintain data pipelines and ETL/ELT processes.
• Collaborate with data teams for requirements and automate deployment.
• Optimize data storage and troubleshoot performance issues.

Skills

Python proficiency

Unit and integration testing

DevOps practices

Agile methodologies

Analytical and problem-solving skills

Education

Degree in Computer Science/Information Technology

Tools

AWS

Kubernetes

Apache Spark

Apache Hive

Apache Airflow

Dagster

Prefect

GitHub workflows

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.