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Senior Data Scientist builds and deploys ML models and pipelines to clean, classify, and deduplicate product catalogs and sales data for a global partnership marketing platform, using Python, SQL, and vector search tools.
Build and maintain scalable data pipelines and cloud data warehouses for Poland’s largest e-commerce platform using GCP, Python, PySpark, and Airflow.
Principal Data Engineer at Optiver in Amsterdam builds a unified, governed data foundation for Finance, People, Procurement, Tax, and Compliance using Databricks, dbt, SQL, PySpark, Unity Catalog, and DataHub to power reporting, AI agents, and self-service analytics.
Design and build a unified, governed data foundation for a global trading firm using Databricks, dbt, and PySpark, enabling trusted analytics and AI-powered tools across business domains.
Design and build a unified, governed data foundation for a global trading firm using Databricks, dbt, and PySpark, enabling trusted analytics and AI-powered tools across Finance, HR, Procurement, and Compliance.
Design and build a governed, unified data foundation for finance, HR, procurement and compliance using Databricks, dbt, SQL and PySpark to power reporting, AI agents and self-service analytics.
Builds and optimizes Azure Databricks pipelines using PySpark and Delta Live Tables for ETL/ELT in a Lakehouse architecture.
Principal Data Scientist at AbbVie designs, builds, and deploys AI/ML models to optimize pharmaceutical commercial strategies, using Python, R, SQL, and cloud platforms to analyze healthcare provider and patient data.
Lead a team to design, build, and maintain end-to-end data pipelines and platforms using Azure, Databricks, dbt, and PySpark, ensuring scalable, reliable, and governed data solutions for procurement and enterprise domains.
Senior Data Engineer (ML) builds and migrates machine learning data pipelines from Databricks to AWS SageMaker, ensuring parity in a regulated iGaming environment using Python, PySpark, AWS data/ML stack, and CI/CD tools.
About AllShore Talent AllShore Talent is a leading remote staffing company, offering top-tier professionals working 100% remote to businesses worldwide. Specializing in IT and software development, design,…
Build and maintain AWS-based data pipelines and a scalable lakehouse for a fast-growing European fintech, enabling analytics, AI, and regulatory reporting.
Builds and maintains data pipelines and dashboards for credit risk models (PD, LGD, EAD) and regulatory reporting, using Spark, SQL, and ETL/ELT processes in a bank setting.
Build and maintain a scalable Azure-based data intelligence platform, designing ETL pipelines, data models, and reporting outputs to extract actionable insights for strategic decision-making.
Designs and delivers cloud-based data pipelines and warehouses for Fortune 500 clients, using Snowflake, Databricks, and ETL tools while collaborating with stakeholders and mentoring teams.
Build and maintain real-time web apps using React/TypeScript and Python backends, collaborating with a global team to deliver scalable, high-performance solutions.
Senior engineer leading data platform design and ETL pipelines that process petabytes daily for a global connected-TV ad business, using Spark, Kafka, Airflow, and cloud infra.
Designs and scales terabyte-scale data pipelines for connected TV and cross-screen advertising systems, ensuring data governance and compliance while collaborating across global teams.
Senior Data Engineer builds and scales Spark-based data pipelines on GCP to power Movable Ink’s AI-driven marketing personalization engine, collaborating with ML teams to feed production models.
Build and maintain scalable data pipelines on Databricks using PySpark, refactor legacy ETL to modern ELT, and ensure data quality and reliability for analytics and reporting.
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