summary

kuala lumpur, wilayah persekutuan
permanent

specialism
information technology
sub specialism
software engineering & development
reference number
91M0262418_3736963141620314084

job details

about the role

you will work closely with multiple stakeholders to develop scalable data pipelines, design cloud-based data lakes and EDWs, and support large-scale ML model development.
...

about the job

develop POCs to build scalable cloud-based infrastructure for model development, management, and governance
define project needs and deliver cloud-based solutions for data ingestion, pipelines, ETL, and warehousing
troubleshoot and fix issues during testing, deployment, and post-release phases
support the design and architecture of services across the data ecosystem
help shape best practices by contributing to team standards, methodologies, and peer reviews
maintain clear internal documentation of service components and architectural designs

knowledge, skills and experience

strong background in building data pipelines, ETL workflows, and warehousing solutions using Python
experienced with large-scale data processing frameworks
at least 4 years of hands-on experience working with cloud platforms such as AWS, Azure, GCP or similar
Snowflake & Databricks will be considered a strong plus
solid experience developing ingestion and analytical pipelines across relational databases, data lakes, and modern data warehouses
familiar with real-time data streaming technologies including Kafka & Spark streaming
hands-on with container orchestration and deployment using Kubernetes & Docker
hands-on with infrastructure-as-code (IaC) tools like terraform

how to apply

interested candidates may contact Hua Hui at +6017 960 0313 for a confidential discussion.

about the role

you will work closely with multiple stakeholders to develop scalable data pipelines, design cloud-based data lakes and EDWs, and support large-scale ML model development.

about the job

develop POCs to build scalable cloud-based infrastructure for model development, management, and governance
define project needs and deliver cloud-based solutions for data ingestion, pipelines, ETL, and warehousing
troubleshoot and fix issues during testing, deployment, and post-release phases
support the design and architecture of services across the data ecosystem
help shape best practices by contributing to team standards, methodologies, and peer reviews
maintain clear internal documentation of service components and architectural designs

...

knowledge, skills and experience

strong background in building data pipelines, ETL workflows, and warehousing solutions using Python
experienced with large-scale data processing frameworks
at least 4 years of hands-on experience working with cloud platforms such as AWS, Azure, GCP or similar
Snowflake & Databricks will be considered a strong plus
solid experience developing ingestion and analytical pipelines across relational databases, data lakes, and modern data warehouses
familiar with real-time data streaming technologies including Kafka & Spark streaming
hands-on with container orchestration and deployment using Kubernetes & Docker
hands-on with infrastructure-as-code (IaC) tools like terraform

how to apply

interested candidates may contact Hua Hui at +6017 960 0313 for a confidential discussion.

experience
6 years
skills
Python, SQL, AWS, Azure, GCP, Snowflake, Databricks, ETL, EDW, data lake, data warehouse, NoSQL, PySpark, Kafka, Docker, K8, CI/CD, AI, ML
qualifications
diploma or Bachelor’s degree in Computer Science, Information Technology, or a related field
education
Bachelor Degree

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huahui ong

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senior data engineer [up to 18k].

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the application process.

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getting you registered.

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