Senior Data Engineer
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
CAD 142K-190K (estimate) Senior-level Full Time
Tasks
- Apply data security and governance best practices
- Build and maintain streaming and real time pipelines
- Collaborate with data scientists on ML initiatives
- Communicate technical designs and project status
- Define and document schemas and workflow automation standards
- Design data warehouse and datamart structures
- Design, build, and optimize ETL/ELT pipelines
- Diagnose and resolve pipeline failures and performance issues
- Evaluate AI assisted patterns and build tools and automations
- Lead data warehouse migration architecture delivery
- Mentor junior and mid-level data engineers
- Own data engineering projects and pipeline delivery
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | B testing | Cloud Data | Cloud Data Warehouse | Data Governance | Data Mart | Data Modeling | Data Security | Data Warehouse | Data Warehousing | Data pipeline | Data pipeline orchestration | ELT | ETL | Entity Relationship Modeling | Entity relationship | Golang | Java | Linux | Linux Shell | Linux Shell Scripting | MLOps | Machine Learning | Machine Learning Pipelines | NoSQL | Normalization | Pipeline Orchestration | Python | Real Time | Real-time Processing | Relationship Modeling | SQL | Scala | Shell Scripting | Streaming Data | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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