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Builds and optimizes cloud-based data pipelines using SQL, dbt, and Python, focusing on Snowflake and modern data warehousing while leveraging AI tools for code generation and performance tuning.
Build and maintain the internal platform that lets developers deploy and run software, using AWS CDK, Kubernetes (EKS), CI/CD pipelines, and observability tools like Datadog.
A Forward Deployed Engineer embedding with enterprise customers to implement Sigma's cloud-native analytics platform, building workbooks, data apps, and automated workflows on live cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift) using strong SQL and data modeling skills.
Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be part of an…
About the role: Sigma is growing rapidly, and our Technical Support Engineering team is scaling alongside it to meet the needs of an expanding global user base. As a Technical Support Engineer at Sigma, you will be…
We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members…
Presales technical advisor at a cloud analytics startup, building demos and prototypes in Snowflake/Redshift/BigQuery to showcase Sigma’s BI platform and win deals.
Design and sell AI-driven analytics solutions for enterprises, using Sigma’s warehouse-native platform to build governed agents and apps directly in cloud data warehouses like Snowflake and BigQuery.
ABOUT DSC: In 2011, Dollar Shave Club didn’t just shake up the shaving aisle—we reinvented it. A viral video put us on the map, and our direct-to-consumer model challenged an entire industry by making great razors…
Build and maintain scalable data warehouses and pipelines to power AI-driven customer-insight dashboards using Snowflake, Airflow, Kafka and Python.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
Lead the build of a cloud-scale data platform from ingestion to warehouse, designing real-time pipelines and AI-powered analytics for a global fintech trading platform.
Senior Data Engineer builds and maintains AI-powered data pipelines and ML systems at a fast-growing hospitality workforce platform, ensuring reliable data flow from ingestion to real-time decisioning.
Senior Analytics Engineer builds and maintains data pipelines, warehouses, and dashboards for GE Vernova’s Steam Data Lake, enabling analytics and GenAI use cases in the power business.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Builds scalable ELT pipelines and optimizes data models for Zendesk’s analytics platform using SQL, dbt, Python, and cloud warehouses like BigQuery.
Lead a team of data scientists building production ML models for last-mile logistics, including route optimization, forecasting, and delivery success prediction using Python and cloud tools.
Build and scale MLOps infrastructure and pipelines to deploy, monitor, and optimize AI/ML models that power Veho’s logistics network and pricing systems for ecommerce brands.
Build and maintain AI-powered search infrastructure for a learning platform, designing Elasticsearch pipelines, hybrid retrieval systems, and backend services to deliver low-latency, high-relevance results at scale.
Builds dashboards, data pipelines, and AI-driven tools to inform logistics decisions using SQL, Python, and BI tools like Sigma and Hex.
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