Senior Data Engineer/Data Architect(AWS / Azure / Databricks with AI & ML)
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
USD 150K-195K (estimate) Senior-level Full Time
Tasks
- Build ETL and ELT pipelines
- Deploy AI/ML solutions
- Design data architectures with Databricks
- Develop data lake and lakehouse architectures
- Enable real time analytics and predictive modeling
- Ensure data governance security compliance and cloud optimization
- Implement AI ML data pipelines
- Lead architecture discussions and define best practices
- Process data with Apache Spark and PySpark
- Support cloud migration and modernization
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS IAM | AWS Lambda | AWS S3 | Amazon EC2 | Amazon Redshift | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | Data Factory | Data Lake Storage | Data Modeling | Databricks | ELT | ETL | MLOps | Machine Learning | PySpark | Python | SQL | SQL Database | Synapse Analytics
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Engineer | Senior Data Engineer
Regions
Countries
States
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