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Build and maintain high-volume, low-latency services for a cybersecurity platform that uses AI to detect threats across global cloud infrastructure.
Build and deploy AI models into scalable services, turning research prototypes into production-ready systems with Python, Airflow, and cloud/on-prem infrastructure.
Build and own large-scale, distributed data pipelines using Airflow/Dagster, Spark, dbt, Kafka, and AWS to process billions of consumer interactions daily.
Build and maintain Snowflake data models with dbt to power trusted analytics and reporting for a global commercial real estate firm.
Principal Data Architect designs and governs enterprise data platforms, warehouses, and AI-ready architectures while leading Data Mesh adoption and master data management for a mission-driven organization.
Senior Data Engineer designs and maintains enterprise-scale data pipelines, ETL/ELT workflows, and data lakes using Databricks, Spark, SQL, Kafka, and AWS services to support analytics and AI/ML initiatives.
Build and maintain housing datasets, automate analyses, and create visualizations to inform US housing policy using Python, SQL, and AI-assisted methods.
Lead a team of data engineers to build and maintain retail-focused data pipelines in GCP, focusing on customer, ecommerce, and store operations data for personalization and marketing.
Build and maintain data pipelines, write SQL queries, and create dashboards to support business decisions at an edtech company.
Build and run cloud-native platforms for enterprises, migrating legacy systems to AWS/Azure and operating Kubernetes clusters with Terraform and CI/CD pipelines.
Lead AI/ML engineer at Nike building scalable prediction and optimization models in Python on AWS, mentoring teams, and owning ML solutions from conception to production.
Senior Data Engineer builds and optimizes ETL pipelines, cloud data infrastructure, and Python apps to process millions of records daily for a music/entertainment data platform using AWS, Snowflake, Spark, and Airflow.
Designs and builds scalable Azure-based data pipelines using PySpark and Spark SQL in Databricks to ingest and transform enterprise data for analytics and reporting.
Build and harden the SRE and infrastructure foundations for a physical-AI platform that orchestrates high-volume data pipelines, ML training/inference, and web apps on AWS and Kubernetes.
Build and harden the DevOps infrastructure for a physical-AI platform that orchestrates high-volume ML pipelines on AWS and Kubernetes, adding observability, reliability, and CI/CD guardrails.
Design and build cloud data platforms for a global payments company, using GCP, Snowflake, Python, and SQL to power analytics and decision-making across the enterprise.
Lead marketing analytics for a pan-European car marketplace, integrating data from multiple brands and acquisitions, building dashboards, and optimizing ad spend across Google, Meta, and MMPs.
Build and maintain marketing data pipelines and tracking systems using Python, SQL, and Google Tag Manager to support ads and analytics across BigQuery, ClickHouse, and external platforms.
"ПМХ-ИНФОТЕХ» - аккредитованная IT компания, которая разрабатывает, внедряет, адаптирует и сопровождает корпоративные информационные системы, специализированные IT-решения и развитие информационной инфраструктуры…
Design and lead enterprise-scale cloud data platforms, pipelines, and models for Mattel’s global retail and media operations, ensuring analytics-ready datasets and governance.
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