- Kuala Lumpur Federal Territory Malaysia
Kerja Sepenuh Masa, Lead - Senior Data Engineer (min 5 yrs experience) di Randstad Malaysia Federal Territory - Maukerja
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Job Summary
We are seeking a Lead / Senior Data Engineer to design, build, and optimize our core data infrastructure. In this role, you will bridge the gap between raw data and production-ready environments, ensuring our analytics systems are scalable, reliable, and high-performing. You will collaborate closely with Data Scientists to support advanced modeling and lead data engineering initiatives.
Key Responsibilities
We are seeking a Lead / Senior Data Engineer to design, build, and optimize our core data infrastructure. In this role, you will bridge the gap between raw data and production-ready environments, ensuring our analytics systems are scalable, reliable, and high-performing. You will collaborate closely with Data Scientists to support advanced modeling and lead data engineering initiatives.
Key Responsibilities
- Data Pipelines: Build and orchestrate automated ETL/ELT pipelines for batch and real-time streaming data.
- Architecture: Design and maintain scalable data lake and data warehouse structures.
- Data Modeling Support: Partner with Data Scientists to optimize data pipelines, feature stores, and datasets required for statistical modeling.
- Performance: Tune and optimize complex SQL queries and data workflows for large-scale datasets.
- Leadership: Establish technical best practices, ensure data quality, and mentor junior engineers.
- Experience: Minimum 4+ years in Data Engineering, Big Data, or Data Architecture.
- Education: Degree in Computer Science, Software Engineering, or a related quantitative field.
- Technical Proficiency:
- Languages & Core Libraries: Mastery of Python (including advanced Pandas and NumPy for data manipulation) and expert-level SQL.
- Data Modeling & ML Support: Strong familiarity with preparing data for statistical modeling and predictive frameworks (e.g., XGBoost, Regression, Decision Trees).
- Infrastructure & Orchestration: Experience with modern data stack tools (e.g., Spark, Airflow, dbt) and cloud data platforms (AWS, GCP, or Azure).
- Flexible Hybrid Arrangement: Balance of remote work autonomy and in-office collaboration.
- Professional Growth: Lead high-impact architectural decisions alongside a talented AI and analytics team.
- Competitive Compensation: Monthly salary up to RM 15,000, commensurate with experience and technical assessment.
Peringatan Penting
Jangan pernah kongsikan maklumat bank atau kad kredit anda semasa memohon pekerjaan. Elakkan membuat sebarang pembayaran atau mengisi survey yang tidak berkaitan. Jika ada yang mencurigakan, sila laporkan iklan pekerjaan ini segera.
Lebih Lanjut
