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Designs and maintains large-scale data pipelines, data models, and APIs for a data-driven advertising company, using Python, SQL, Spark/Databricks, and Redshift to process billions of rows of data for campaign optimization.
Builds and maintains data pipelines, models, and integrations for a gambling company’s operational and reporting systems, with a focus on reliability, scalability, and documentation while leveraging AI tools responsibly.
Build and maintain dbt data models in Snowflake to power analytics for a fintech platform that lets workers access pay instantly.
Develops AI/ML models and data tools to optimize aviation operations, including predicting flight delays, scheduling, and maintenance planning, ensuring scalable deployment and real-time decision support for crews and planners.
Leads design of scalable, AI-ready data architectures for enterprises, focusing on cloud platforms (AWS/Azure), Lakehouse solutions, and agentic AI/data patterns.
Привет! Это команда Базовых ML Моделей. Мы строим единую систему оценки качества ML-решений в Озоне — от классических моделей до больших языковых моделей. Наша задача — находить лучшие ML-разработки внутри компании,…
Builds and maintains integrations/APIs connecting Wrapbook’s production finance platform to accounting/ERP systems and AI agents, ensuring reliable data exchange and scalable architecture.
Build and maintain governed, scalable analytics pipelines using dbt, SQL, and Python to turn raw data into actionable insights for business decisions in a global car-rental platform.
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.
Designs and builds scalable Snowflake data pipelines using SQL, Python, Snowpark, and dbt to modernize ELT/ETL workflows and optimize performance and costs.
Designs and develops backend applications on Google Cloud Platform (GCP) to migrate on-premise systems and build a scalable data platform for credit decisioning, focusing on performance, scalability, reliability, and cost optimization.
Designs and builds scalable data pipelines and infrastructure to power analytics and AI/ML at a global caller-ID app with 450M+ users, using Spark, Kafka, BigQuery, and Airflow.
Senior DevOps Engineer responsible for building and maintaining a cloud-based Big Data platform using IONOS cloud infrastructure, Kubernetes, and open-source tools, with end-to-end ownership of platform stability and performance.
Our department’s vision is to build a Data-Driven IONOS Group. Our mission is to connect AI and BI, evolve our platforms, and empower our customers. As the central provider of the BI platform for Corporate, CTO topics,…
Designs and optimizes end-to-end data pipelines for a banking client, bridging cloud (AWS) and legacy Oracle systems using Airflow, dbt, and SAP tools while modernizing data architectures and ensuring data quality, security, and performance in a Pan-Baltic Agile team.
Designs and implements data pipelines and storage architectures for high-load entertainment services, collaborating with product managers, analysts, and SQL developers to build scalable data solutions.
Fynd is a frontier technology company. We started at the intersection of technology and retail because that is where technology was the least available. Over the years, we became one of India’s largest retail…
Build and maintain data pipelines and databases for Playtech’s gambling platforms, using SQL, Python, and GCP tools like BigQuery and Airflow.
Senior engineer builds and scales blockchain data platforms using Scala, Spark, and AWS to power crypto crime-fighting analytics.
Designs and owns a high-throughput data pipeline for a diagnostic instrument platform, handling real-time image acquisition, GPU-accelerated signal processing, and distributed HPC/cloud processing with reliability and scalability.
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