Lead / Senior Data Engineer (min 5 yrs experience)

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 Build and orchestrate automated ETL/ELT pipelines for batch and real-time streaming data. Design and maintain scalable data lake and data warehouse structures. Partner with Data Scientists to optimize data pipelines, feature stores, and datasets required for statistical modeling. Tune and optimize complex SQL queries and data workflows for large-scale datasets. Establish technical best practices, ensure data quality, and mentor junior engineers.

Requirements 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. , XGBoost, Regression, Decision Trees). , Spark, Airflow, dbt) and cloud data platforms (AWS, GCP, or Azure).

Benefits & Work Environment 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. #J-18808-Ljbffr. Compensation: 152 - 182.