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Frontline Enterprise AI Data Engineer (Cloud)
Embed with enterprise clients to deploy and optimize data pipelines and AI workflows using BigQuery, Dataproc, Dataflow, and Dataform/dbt.
Senior Data Engineer
Design and build scalable data pipelines and cloud-based data platforms to power AI and analytics initiatives using AWS, Spark, and modern orchestration tools.
Senior Data Engineer | Enterprise Data | AI
Designs and builds scalable data pipelines and platforms on AWS to power enterprise analytics and AI initiatives using Python, Spark, and modern cloud tools.
Senior Data Engineer
Designs and maintains cloud-based data pipelines and warehouses, builds data models, and partners with ML teams to enable real-time analytics and personalization using tools like BigQuery, dbt, and Airflow.
Hybrid Senior Data Engineer: AI-Driven Data Platform
Senior Data Engineer builds AI-native data infrastructure on AWS, Snowflake, dbt and Iceberg to power analytics, experimentation and product decisions.
Lead Data Engineer
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Data Engineer
Build and migrate data pipelines using SQL, dbt Core, and Snowflake for a large analytics platform and cloud migration project.
Senior Data Engineer — AI-Driven Data Platform
Build and maintain scalable data pipelines and systems on AWS, Snowflake, and ClickHouse to power analytics, AI, and product decisions at Goodnotes.
Data Engineer
Build and migrate data pipelines using SQL, dbt Core, and Snowflake for a cloud migration program supporting a large enterprise analytics platform.
Data Engineer
Designs and builds ETL/ELT pipelines and data warehouses in Snowflake, Redshift, and open-source tools, using Python, SQL, and dbt.
AVP/VP, Data Engineer, Technology Group
Lead data engineering projects to build and maintain investment data platforms using Python, PySpark, AWS, and Databricks, enabling analytics and AI-driven insights for a sovereign wealth fund.
Senior Data Engineer: AI-Driven Data Platform
Designs and builds scalable data pipelines and models for an AI-native analytics platform using Snowflake, dbt, Iceberg, Kafka, and AWS.
Data Engineer - AVP/Manager
Design and build scalable cloud-native data platforms for a major bank, using Lakehouse architectures, real-time streaming, and AWS to deliver analytics-ready datasets.
Data Engineer (Mid/Senior)
Build and optimize AI-powered data pipelines for Razer’s gaming products, including feature stores, vector databases, and real-time streaming solutions using Python, Spark, and cloud platforms.
Senior GenAI Data Engineer — Cloud Pipelines & AI
Builds and optimizes cloud data pipelines for AI workloads, using BigQuery, Dataform/dbt, and streaming systems to enable scalable, high-integrity data flows for GenAI applications.
Senior Data Engineer (Founding Data Engineer)
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, using Snowflake/Databricks and Python/Spark to create pipelines and warehouses that power analytics and reporting.
Head, AI Data Solutioning, AI Data Engineering, xData
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Senior Data Engineer (AI)
Design and maintain scalable data pipelines and lakehouse architectures to power AI models and analytics dashboards, using AWS, Databricks, and Snowflake.
Senior Data Engineer (Founding Data Engineer)
Build and scale a modern cloud data platform for a MAS-licensed fintech bridging fiat and digital payments, using Snowflake/Databricks and Python/SQL pipelines.