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Build and deploy AI models for human-like conversations, spanning speech, language, and real-time inference systems. Own end-to-end ML pipelines and MLOps tooling in a fast-moving startup.
Senior Data Engineer builds and maintains cloud cost visibility pipelines using Python, SQL, dbt, Airflow, AWS Glue, Athena, Aurora, and Snowflake to power cost optimization insights.
Design and maintain large-scale data platforms, metadata systems, and semantic models for enterprise clients using Python, SQL, and modern data stack tools.
Senior Data Engineer builds and maintains resilient data pipelines and systems for marketing analytics, using SQL, programming, and modern platforms like BigQuery and Dagster.
Lead a team to design, optimize, and scale self-hosted databases and data pipelines for a major game studio, ensuring performance and compliance while mentoring engineers.
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Build and maintain cloud-native data pipelines and warehouses to power AI/ML models and analytics for a PropTech client, using Python, Spark, SQL, and tools like Snowflake, Airflow, and Kafka.
Build and maintain IBM’s Quantum Software data lake, designing scalable pipelines and orchestration workflows to power analytics and insights for quantum computing.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, SQL, and dbt to turn raw data into business insights for clients.
Build and scale high-throughput data pipelines and AI-driven marketing infrastructure for a global travel subscription platform, using Python, SQL, dbt, Dagster, and Google Cloud.
Build and maintain cloud data pipelines in Python, using AWS services and IaC to ingest, process, and model data for analytics and operations.
Design, build, and scale a cloud data platform using Snowflake, dbt, Dagster, and AWS to improve data quality, performance, and governance while optimizing cloud costs.
Build and maintain a modern cloud data platform using Snowflake, AWS, dbt and Dagster to power analytics and business decisions for an Australian gaming systems provider.
Build and optimize distributed data pipelines using Scala/Java/Python, Spark, Kafka, and Delta Lake/Iceberg, then deploy them on GKE with Helm for AI-driven networking analytics.
Build and maintain Feedzai’s data orchestration platform, integrating diverse data sources and enabling real-time fraud detection for banks and retailers using Java, Kafka, and cloud-native services.
Build and maintain DRW’s Unified Data Platform, designing pipelines to ingest trading, research, and back-office data using SQL, Python/Java, and modern batch/streaming tech.
Build and govern data pipelines for a global trading firm, integrating vendor datasets and enabling traders and researchers with reliable, high-quality data products using SQL, Python/Java, and modern streaming/batch tech.
Build secure, scalable data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for sensor and process data.
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
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.
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