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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.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Build and optimize distributed data pipelines and AI analytics for networking using Spark, Kafka, Delta Lake, and Kubernetes in a cloud-native environment.
Senior Data Engineer builds scalable Snowflake pipelines and reusable ingestion frameworks for a fast-growing digital bank, optimizing cost and reliability across Singapore and Indonesia.
Build and optimize scalable ETL pipelines, real-time data ingestion, and multi-tenant analytical databases to power sub-second BI dashboards and embedded analytics for a media-focused SaaS platform.
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake/AWS Redshift/Azure Synapse) to power AI-driven healthcare analytics in Saudi Arabia, integrating HL7/FHIR clinical data.
Design and build an AI-ready Data Lakehouse in Saudi Arabia using Delta Lake/Iceberg, Spark, and Kafka, ensuring compliance with NCA/NDMO standards.
Design and maintain scalable data pipelines and cloud data warehouses to power AI-driven healthcare solutions in Saudi Arabia, integrating clinical and claims data using HL7/FHIR standards.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake/AWS Redshift) to power AI-driven healthcare analytics in Saudi Arabia, integrating clinical and claims data via HL7/FHIR.
Build and scale FINN’s data platform from scratch, implementing BigQuery governance, dbt pipelines, and modern data infrastructure to democratize financial data across the fintech startup.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Architect and build scalable data pipelines and Snowflake warehouse schemas using Airflow/Prefer/Dagster, enforcing DataOps and software engineering best practices.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow or similar tools.
Build and maintain scalable data pipelines for a systematic commodities hedge fund, using Python, SQL, and cloud tools to process market and alternative datasets for trading research.
Designs and builds scalable data pipelines, optimizes Snowflake schemas, and enforces DataOps with CI/CD, Docker, and automated testing in Python.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps with Airflow/Prefer/Dagster.
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
Design and maintain scalable data pipelines, cloud data lakes/warehouses, and ETL workflows using Python, Spark, and Airflow to support analytics and ML across AWS/GCP/Azure.
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