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Senior Data Engineer building scalable lakehouse data platforms for global clients using Databricks, Snowflake, PySpark and Azure Data Factory. Works in Agile sprints with DevOps, cloud engineers and data scientists to deliver data solutions across APAC from Kuala Lumpur.
Senior Data Engineer building scalable data pipelines and customer data integrations on the Cognite Data Fusion platform, delivering industrial AI/DataOps solutions for energy, manufacturing, and utilities clients while collaborating with data scientists, solution architects, and project managers.
Senior Data Engineer at Cognite in Malaysia building industrial data platforms and AI solutions: designing data pipelines, modeling data, and working with data scientists, architects, and PMs to ship production-grade data. Core stack includes Python, SQL, REST APIs, Kubernetes, and GCP/Azure with strong DevOps practices.
Senior Data Engineer at Ultra Tendency, a data & AI consultancy, designing and optimizing scalable batch/streaming data pipelines on the Databricks Lakehouse Platform (Apache Spark, Delta Lake) for international clients, working in a hybrid setup from Kuala Lumpur.
Senior Data Engineer in Kuala Lumpur building scalable Lakehouse data platforms for global clients using Azure Databricks, PySpark, Azure Data Factory and Snowflake. Day to day: designing pipelines and schemas for AI/analytics workloads, enforcing data quality and governance, and mentoring junior engineers in Agile sprints across APAC.
Senior Data Platform Engineer for a software house in Kuala Lumpur: builds and optimizes large-scale batch/streaming data pipelines and platform infrastructure using Kafka, Spark, Hadoop, Databricks, Snowflake and cloud (AWS/GCP/Azure), defines data engineering standards, and mentors junior data engineers.
Designs, builds, and maintains Mettler-Toledo's central data platform, delivering trusted, well-structured data for analytics, data distribution, and AI/ML initiatives across the organization. The role involves close collaboration with data scientists, analysts, and business stakeholders, using Databricks and Snowflake to build data lake/lakehouse solutions.
Designs, builds, and maintains scalable ETL/ELT data pipelines and data models (batch and real-time) for Alliance Bank's data platform, working with cloud platforms (Azure, AWS, GCP), orchestration tools like Airflow, and big data tech like Spark and Kafka. Requires strong Python/Java/Scala and SQL skills.
Data Engineer at Mettler-Toledo in Petaling Jaya, Malaysia who designs, builds and maintains the company's central data platform — developing scalable batch/streaming pipelines, ETL/ELT flows, and the enterprise data lake/lakehouse using Databricks, Snowflake and Python/SQL to power analytics and AI/ML initiatives.
Data Engineer at Star Media Group (Petaling Jaya, Malaysia) designs, builds, and maintains ETL/ELT pipelines and GCP cloud infrastructure — BigQuery, Dataflow, Airflow, dbt — to power enterprise analytics and AI, plus data governance and automated reporting. On-site role at Menara Star.
A data engineer at onsemi Malaysia who designs, maintains, and scales sales data pipelines and analytics, partnering with Sales Operations, IT, and Analytics to improve data quality and deliver timely insights. Core stack includes Snowflake, SQL Server, DBT, and GitLab for version control.
Data Engineer at Alliance Bank Malaysia designing, building, and maintaining scalable batch and real-time data pipelines, integrating diverse data sources, and ensuring data quality and governance on cloud data platforms using Python/Java/Scala, SQL/NoSQL, Airflow, and containers.
A data engineer supporting sales data and analytics at onsemi: designing, maintaining, and optimizing ETL/ELT data pipelines and warehouse solutions built on Snowflake and SQL Server, using dbt for modeling and GitLab for version control, while troubleshooting issues and ensuring reliable, high-quality sales data for reporting and decision-making.
Cloud Data Engineer at ams OSRAM in Kedah, Malaysia: builds and optimizes cloud data warehouse pipelines and models (Snowflake/Databricks, Data Vault/star schema) using SQL, Python, Azure Data Factory, dbt and Airflow, partnering with data scientists and analysts. Requires a CS-related degree and 5+ years of relevant experience.
Data Engineer at Strato Solutions who collects, validates, and transforms data from multiple sources, builds ETL processes, and delivers dashboards, reports, and KPI insights for business and project stakeholders. Core stack includes SQL, Python or R, relational databases, and BI tools like Power BI, Tableau, or Grafana.
A senior data engineer role in Kuala Lumpur focused on designing, building, and optimizing scalable data pipelines and analytics solutions. Core tech is Azure Synapse, Databricks, Python, and PySpark, with emphasis on governance, security, and data quality across Bronze-to-Gold lakehouse layers.
A senior data engineer role building and maintaining scalable data pipelines, ETL, and lakehouse (Bronze/Silver/Gold) solutions on Azure Synapse and Databricks using SQL, Python, and PySpark. The person also designs data models, monitors platform performance, maintains documentation, and drives data governance and quality in collaboration with stakeholders and vendor engineers.
Data engineer at Star Media Group (a leading Malaysian media company) who designs, builds, and maintains cloud data pipelines and infrastructure for enterprise analytics. Day to day involves architecting automated ingestion workflows and optimizing BigQuery, using Dataflow and Airflow to deliver datasets for AI and analytics teams.
Data engineer at ams OSRAM in Kedah, Malaysia, designing cloud-based data solutions and scalable data pipelines, building secure data models, and optimizing data warehouse performance and costs while partnering with data scientists and analysts. Core technologies are SQL and Python.
DevOps Engineer at Curlec by Razorpay builds and maintains AWS cloud infrastructure, automates deployment and operations with IaC (Terraform), containers, and CI/CD, handles incident response, and develops AI-powered agents for DevOps automation. Full-time, office-based in Kuala Lumpur.
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