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Experienced Data Engineer
Design and build modern data pipelines and cloud-native analytics solutions for enterprise clients using Python, SQL, Snowflake, Databricks, and cloud platforms like Azure or AWS.
Data Engineer
Build and maintain cloud-native data pipelines and platforms for clients using Python, SQL, Snowflake, Databricks, and CI/CD, while collaborating with cross-functional teams to deliver analytics solutions.
Data Engineer
Design and build enterprise-scale data solutions on Azure for a global MedTech company, focusing on data warehousing, integrations, and cloud pipelines to support data-driven healthcare decisions.
Data Engineer
Build and maintain scalable ELT pipelines and data infrastructure in Amazon Redshift to power analytics for EV charging events, subscriptions, and financial transactions.
ETL Test Automation Lead, Onsite - 69618
Lead QA for enterprise ETL/data-ingestion pipelines, designing automated tests for Snowflake, AWS S3, and data-warehouse integrations.
Lead Data Engineer
Lead the design and implementation of enterprise-scale data platforms (data warehouses, lakes, and analytics) using SQL, Python, and cloud tools, while mentoring a team and setting technical standards.
BI Data engineer
Builds and maintains Oracle Fusion Cloud data pipelines using ODI ETL, OBIEE/RPD, and SQL to deliver accurate, timely reports for Finance, HCM, SCM, and OTM teams.
Senior Data Engineer
Build and maintain scalable ELT pipelines in Snowflake using dbt and Airflow, ingesting data from APIs, databases, and streams to power a regional digital bank’s analytics and reporting.
Senior Architect (AI / ML)
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Senior Application Developer
Senior developer maintaining and enhancing ERP, databases, and data warehouse systems for a global biscuit manufacturer, focusing on SQL Server, Access, and performance tuning.
SAS Data Architect / Technical Lead
Lead the design and optimization of enterprise data warehouse and BI solutions using SAS, SQL, and ETL tools to support analytics and decision-making for a large hospitality and entertainment conglomerate.
Senior/Staff Data Engineer - Bangkok based, relocation provided
Build and govern Agoda’s semantic layer for conversational analytics: model metrics, dimensions, and APIs that power consistent answers for applications and agents.
Senior Data Engineer
Build and optimize data pipelines, lakes, and warehouses to feed analytics and ML models, using SQL, Python/Java/Scala, and cloud/on-prem systems.
Data Engineer: Pipelines, BI & Azure Analytics
Build and maintain Azure-based data pipelines and BI dashboards using Power BI, Azure Data Lake, and Data Factory to deliver business insights.
Senior Data Engineer
Build and optimize high-volume ETL/ELT pipelines, real-time data streams, and cloud data warehouses to power search, recommendations, and fraud detection for a large Southeast Asian marketplace.
Enterprise AI/ML Architect — Cloud, MLOps & Gen AI
Designs and governs enterprise AI systems, cloud MLOps pipelines, and Gen AI model lifecycles for DHL’s Asia-Pacific shared services using Snowflake and cloud AI services.
Associate Director, Data & AI Architect
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Data Engineer (Power BI, Data Engineering, SQL)
Build and maintain data pipelines, warehouses, and Power BI dashboards for Mercedes-Benz’s analytics and reporting needs using SQL, Python, and cloud platforms.
Senior Data Engineer - Semiconductor Data Platform
Builds and maintains a data warehouse and ETL pipelines for a semiconductor manufacturing facility, ensuring high-quality data for analytics and decision-making.
Data Engineer
Build and maintain data pipelines, warehouses, and lakes for a Shariah-compliant fintech; use Python, SQL, AWS, Kafka, and Elasticsearch to deliver clean, secure data for analytics and product teams.