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Develops and optimizes core components of AWS’s Big Data query engines (Athena, EMR) and open table formats (Iceberg, Hudi, Delta) to enhance performance, scalability, and security, collaborating with open-source communities and driving innovations in distributed systems.
Builds scalable backend systems and data pipelines to modernize investment management software and migrate customers from legacy systems to Ridgeline’s cloud-native platform.
Builds and evolves Observe’s data lakehouse abstractions so customers can unify logs, metrics, and traces into queryable, correlated tables at petabyte scale using Go and SQL.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using Apache Spark, PySpark, and cloud data services to enable enterprise analytics.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world's largest enterprises to the most ambitious startups, use Stripe to accept payments, grow…
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical…
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
Designs and builds scalable data pipelines and lakehouse architectures on AWS, Snowflake, and Databricks to enable real-time and batch data processing, integrating internal/external sources for Domain-CoStar’s APAC property tech products and analytics teams.
Разрабатывает и поддерживает ETL/ELT-процессы для загрузки данных в Data Lakehouse, строит трансформации и витрины данных, используя Python, SQL, Apache Airflow и Apache Iceberg.
Senior Software Engineer at Starburst to design and build the reliability, scalability, and efficiency of the Starburst Galaxy SaaS platform, primarily using Trino, Java, TypeScript, and cloud infrastructure tools like Terraform.
Owns product strategy and execution for identity and access management (IAM) in distributed data environments, focusing on RBAC, AI agent entitlements, and machine identity governance to secure enterprise data access.
Senior Technical Writer creates and maintains highly technical documentation (config, deployment, query references) for Starburst’s distributed data platform, collaborating with engineers and product teams to ensure accuracy, scalability, and AI-consumption readiness.
Senior Java engineer at Starburst building and maintaining data connectors for Trino and Starburst’s analytics platform, enabling secure access to diverse enterprise data sources.
About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps…
Leads Starburst's data federation strategy, defining how the platform enables AI agents to query data across distributed systems without consolidation, focusing on interoperability with catalogs like Polaris and Unity Catalog.
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