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Build and scale data infrastructure for an AI-driven hedge fund, designing systems that support research and production workflows while collaborating with ML experts and engineers.
Designs and builds scalable data platforms and pipelines using GCP tools like BigQuery, Airflow, and Trino, enabling data-driven decisions in hybrid work settings.
Responsibilities Team Introduction The Global Advertising Data Platform team builds the data foundation and products behind advertising across our international products — petabyte-scale ingestion and storage through…
Design and maintain scalable data pipelines for Grab’s lending business using Flink, Spark, Kafka, and AWS services to deliver real-time metrics and analytics.
Lead a Vietnam-based engineering team building and operating Grab's real-time stream processing platform (Apache Flink, Kafka, CDC), focusing on self-service capabilities, production reliability, and team growth.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Mid-level Data Scientist working on-site at MacDill AFB, supporting SOCCENT's Intelligence Data Science Team by building data-driven solutions, predictive models, and ML tools using Python, Bash, SQL, and large-scale data systems.
At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless…
A generalist data scientist applies ML to solve data problems (e.g., quality, classification, embeddings) and builds tools for analysts. Works independently on projects, embedded with product/data teams, and partners with engineers, analysts, and PMs.
Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the…
Senior engineer maintains and improves production data platforms on Kubernetes across on-prem, AWS, and GCP, using GitOps and observability tools to ensure reliability and scale.
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.
Особенности Опыт от 3 лет Удалёнка или гибрид Гибкий график Белая зарплата Полугодовые премии ДМС со стоматологией Обязанности Сбор прототипов витрин данных; Разработка и оптимизация SQL-запросов для извлечения данных…
The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high…
Python/ETL Developer building and maintaining scalable batch and real-time data pipelines for enterprise financial services applications, using Python, PySpark, Apache Airflow, DBT, and SQL.
The Principal Software Engineer will architect end-to-end data solutions, lead cloud migrations, and design scalable data pipelines using big data and GenAI technologies. This role involves mentoring junior engineers and collaborating with stakeholders to implement data-intensive applications and infrastructure.
Senior Data Engineer building and maintaining CloudBlue's high-volume, real-time data platform with AI-driven capabilities, using Python, streaming tech (Kafka/NATS/Flink), cloud-native infra (Azure/AWS/GCP), Docker/Kubernetes, and PostgreSQL.
The Founding Engineer will design and manage the cloud infrastructure and platform for a data orchestration product. This role involves building CI/CD pipelines, managing Kubernetes clusters, and optimizing networking and observability for data processing engines.
Job Title: Senior Data Engineer Location: Remote Key Responsibilities Migrate and Refactor Data Models : Convert and optimize dbt models from Redshift and Snowflake to Trino (Iceberg), ensuring compatibility and…
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