Senior Data Engineer: Scalable Pipelines & Platforms

techstreet; Kuala Lumpur; Presencial; MYR 180.000 - 300.000; Jornada completa

Descripción de la vacante

techstreet in Kuala Lumpur is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines for ingestion, transformation, and integration. You will advance data infrastructure, warehouses, and processing platforms with a focus on data quality, security, and governance.

The role requires a Bachelor's degree in a related field and 4+ years in data engineering, with hands-on experience in pipelines, data platforms, APIs, streaming, and workflow automation.

Formación

• Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field.
• 4+ years of experience in data engineering, data platform development, or related roles.
• Hands-on experience designing and maintaining scalable data pipelines and data platforms.
• Strong proficiency in SQL, Python, and modern data engineering tools and frameworks.
• Experience with data warehousing, ETL/ELT, APIs, streaming technologies, and workflow automation.
• Knowledge of data quality, monitoring, governance, and security best practices.

Responsabilidades

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and integration.
• Develop and optimize data infrastructure, warehouses, and processing platforms.
• Integrate data from multiple sources using APIs, streaming, and automated workflows.
• Implement data validation, monitoring, and quality controls for accurate data.
• Optimize data processing, storage, and computing resources for performance and growth.
• Implement access controls, data protection, and governance requirements.
• Deliver trusted, analysis-ready datasets to support analytics, AI, and BI initiatives.

Conocimientos

Python

SQL/NoSQL databases

Educación

Bachelor's degree

Descripción del empleo

techstreet in Kuala Lumpur is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines for ingestion, transformation, and integration. You will advance data infrastructure, warehouses, and processing platforms with a focus on data quality, security, and governance.

The role requires a Bachelor's degree in a related field and 4+ years in data engineering, with hands-on experience in pipelines, data platforms, APIs, streaming, and workflow automation.