- Kuala Lumpur Federal Territory Malaysia
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Role Description: Senior Data Engineer
Role Overview
· Design, develop, and maintain data pipelines and ETL workflows using AWS services.
· Implement orchestration and automation for data workflows.
· Work with large datasets to ensure data integrity, scalability, and performance.
· Collaborate with stakeholders to understand data requirements and deliver solutions.
· Deploy changes directly to production environments with confidence and accountability.
· Support migration efforts to Databricks and optimize workflows for performance
Qualifications
· 7 to 10 years of experience and above
· Experience with data lake architectures, big data technologies, and data pipeline orchestration.
· Familiarity with CI/CD practices for data engineering.
· AWS Certification (e.g., AWS Certified Data Analytics – Specialty or Solutions Architect) is a plus.
· Strong problem-solving skills and attention to detail.
Key Skills and Requirements
· Expert-level fluency in AWS services relevant to data engineering, including Glue, S3, Lambda, Step Functions, and other related services.
· Strong proficiency in PySpark for distributed data processing.
· Advanced SQL skills for querying and optimizing data operations.
· Comfortable with pushing changes live without formal review, ensuring quality through self-validation.
· Databricks experience is a plus.
· Ability to work independently and manage tasks in a siloed environment.
· Currently based in Kuala Lumpur, Malaysia
Peringatan Penting
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