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Senior Data Engineer — GCP & BigQuery for App Analytics
Senior Data Engineer builds scalable pipelines from Google Analytics to BigQuery and GCP using SQL, Python, and ETL to power app analytics and reporting.
Data Engineer: Build Scalable Pipelines for Ethical Fintech
Build and optimize scalable data pipelines, warehouses, and lakes using SQL, Python, and AWS to support analytics and reporting for a fintech investment platform.
69028 Data Engineer (ADF & Databricks)
Build and maintain cloud data pipelines using Azure Data Factory and Databricks to ingest, transform, and expose data for analytics and AI workloads.
Sr. Fabric Data Engineer
Builds and optimizes scalable data pipelines using Microsoft Fabric, Azure Data Factory, and PySpark to power real-time analytics and reporting for a semiconductor firm.
Senior Fabric Data Engineer — Lakehouse & Cloud Pipelines
Designs and builds scalable data pipelines and lakehouse architectures using Azure Data Factory, PySpark, and SQL to enable analytics and compliance.
Senior Data Engineer (Qlik, ETL)
Design and maintain Qlik Replicate pipelines for real-time and batch data replication between systems like Oracle and Cloudera, plus SQL/PL-SQL and Unix scripting.
Senior Data Engineer (GCP & BigQuery)
Senior Data Engineer builds and maintains scalable GCP/BigQuery pipelines to ingest app analytics from Google Analytics, enabling data-driven decision-making with SQL, Python and ETL workflows.
Senior Data Engineer, Metrics Platform
Build and operate Grab’s central metrics platform, designing APIs, ingestion pipelines, and serving layers (e.g., Apache Pinot) to deliver trusted, reusable business metrics for analytics and AI workflows.
(Senior) Data Engineer-1
Build and maintain scalable data platforms and pipelines using Snowflake, DBT Cloud, and Python/SQL to power AI/ML products and analytics for a global building-materials company.
Senior Data Engineer - Azure Databricks & Data Platform
Build and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and Delta Lake, implementing PySpark and SQL processing for analytics and ML workloads.
Senior Data Engineer: Snowflake/Databricks on Azure
Designs and maintains scalable data pipelines and ETL/ELT workflows on Snowflake/Databricks in Azure, collaborating with analytics and engineering teams.
Senior Data Engineer [up to RM 17k]
Design and build scalable ETL pipelines, migrate data to Azure, and model databases for a fintech firm using SQL, Python, and Azure services.
ETL Data Engineer - Informatica, Oracle/AS400
Designs and maintains ETL workflows in Informatica to load financial data into a global data warehouse, writes SQL for Oracle/AS400, and ensures data integrity.
Nadi Tech - Senior Specialist, Data Engineer
Build and maintain secure, scalable data pipelines and warehouses for Malaysia’s fintech infrastructure, ensuring reliability and enabling analytics for millions of users.
Databricks Lakehouse Architect for AI & Data Pipelines
Design and build Databricks Lakehouse architectures for AI and data pipelines, implementing Delta Live Tables, ETL tuning, and ML workflows while mentoring teams on governance and deployment.
Data Engineer
Build and maintain scalable data pipelines and warehouses for AI-driven products, using Python, SQL, and cloud platforms like AWS/GCP.
Senior Data Engineer – AI-Ready Data Platform Lead
Lead the design and maintenance of a scalable, AI-ready data platform using Azure tools, ensuring high-quality data pipelines and models for analytics and machine learning.
AI & Cloud Data Engineer (PySpark + GenAI)
Build and optimize cloud data pipelines with PySpark and AWS Glue, deploy ML models on SageMaker, and integrate Generative AI tools to turn raw data into actionable insights.
Senior Data Engineer
Design and build scalable GCP-based data pipelines and platforms using BigQuery, Dataflow, and Airflow to power analytics and AI initiatives.
Senior Data Engineer
Designs and builds ETL/ELT pipelines and data lakes for a Malaysian bank, using tools like Informatica, Kafka, and SQL to move and transform financial data for reporting and analytics.