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Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Build and maintain data pipelines to ingest lab, production, and simulation data into a cloud-based data platform, ensuring reliability and observability for Samsara Eco’s Industrial AI Platform.
Build and maintain data pipelines, transform raw data into Snowflake analytics, and secure data flows with CDC, IAM, and encryption for regulated clients.
Lead a small team to design, build, and deploy high-throughput Python microservices for an AI-powered knowledge-work automation platform, using FastAPI, Kafka, PostgreSQL, and Kubernetes.
Lead a team to design, build, and maintain scalable data pipelines and warehouses, ensuring reliable analytics and ML-ready datasets using SQL, Python, and cloud tools.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Builds and maintains data-driven applications, REST/GraphQL APIs, and cloud pipelines using Python, SQL, Snowflake, Dagster, dbt, and PySpark.
Architect and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and ensuring data reliability with Python, Airflow/Prefer/Dagster, and CI/CD.
Senior Data Engineer to design and build a scalable ML data platform using Snowflake, dbt, and Airflow/Dagster for analytics and model training.
Build and maintain scalable data pipelines and the Elastic Hierarchy framework using Python, AWS, Snowflake, and DBT to support analytics and ML in a hybrid SaaS/on-premise environment.
Architect and build scalable ETL/ELT pipelines, optimize Snowflake schemas, and enforce data quality for enterprise analytics using Python, Airflow/Prefect/Dagster, and CI/CD.
Designs and scales a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake schemas with DataOps practices.
Architect and scale a modern data platform by designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Python, SQL, and workflow orchestration tools.
Design and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and enforcing DataOps practices with Python, SQL, and orchestration tools like Airflow.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines and optimizing Snowflake schemas with Python, Airflow, and CI/CD.
Design and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and enforcing DataOps with CI/CD and orchestration tools like Airflow.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines and optimizing Snowflake schemas with Airflow, Prefect, or Dagster.
Design and build scalable data pipelines using Snowflake, Airflow, and Python, ensuring robust ETL/ELT workflows and DataOps best practices.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow/Prefect/Dagster.
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