Kerja Sepenuh Masa Data Engineer - Senior Data Engineer, Gaji tinggi MYR 7,500 di STRATEQ Selangor - Maukerja

Requirements

* Minimum 3-5 years of experience in a Data Engineer or similar role

* Strong experience in data integration and pipeline development, including cloud-based solutions

* Hands-on experience with ETL/ELT tools such as AWS Glue, Azure Data Factory, Talend, or WebMethods

* Proficient in SQL for data querying and manipulation

* Experience working with cloud data platforms such as Microsoft Azure and Amazon S3

* Strong problem-solving skills with the ability to troubleshoot complex data issues

* Experience in optimizing and automating data workflows

* Hands-on experience with MSSQL SSIS.

Preferred Skills

* Experience working with enterprise-level data hubs or large-scale data platforms

* Familiarity with data governance and data architecture best practices

* Knowledge of scripting or programming languages for data processing (e.g., Python, Scala)

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and architectures. The role focuses on ensuring reliable data integration, transformation, and accessibility across multiple platforms, including cloud environments, to support business intelligence and analytics initiatives.

Key Responsibilities

Design, develop, and maintain scalable data architectures and data pipelines based on business requirements

Perform data integration across multiple systems and platforms, ensuring alignment with company architecture standards

Develop and manage ETL/ELT processes across various data layers within the Enterprise Data Hub

Troubleshoot and resolve data integration issues at application, infrastructure, and network levels

Identify bottlenecks in existing data pipelines and lead initiatives to optimize and automate processes

Ensure data quality, reliability, and efficiency through appropriate tools and programming techniques

Ensure data lake architecture complies with approved organizational standards and best practices

Collaborate with cross-functional teams to support data-driven decision-making