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Senior Data Engineer building and optimizing Snowflake/Snowpark/dbt data workflows and developing AI/GenAI solutions for a financial-sector client, on a hybrid basis in Poland.
Python Backend Engineer building FastAPI microservices and Snowflake-native data applications (Snowpark, stored procedures, dynamic tables) with REST API design, SQL optimization, and cloud-native deployment.
The Sr. Data Engineer, Data Products position exists to design, build, and optimize certified data products on the ministry’s enterprise data platform. This position develops and tests governed, reusable data sets,…
Pre-sales Solutions Architect enabling partner technical sales teams at Posit Software—running demos, building enablement assets, and advising IT/Admins on enterprise data science infrastructure, with a focus on Snowflake and Snowpark Container Services integrations.
Data Engineer designing and maintaining scalable data pipelines on Snowflake and Azure, using dbt, Airflow, Python, Docker, and Kubernetes for a large multinational IT services company.
Designs, builds, and optimizes scalable data pipelines and analytics platforms on Snowflake/Azure, using dbt, Airflow, Python, and Kubernetes for cloud-native data solutions.
Refer to Job Posting/ Advertisement Guidelines to fill this template State Street Data Services Engineering Who we are looking for We are seeking an experienced Snowflake Developer with 8+ years of overall IT…
The Senior Data Engineer will develop and optimize scalable data models and ELT pipelines in Snowflake, focusing on SAP procurement data to support AI-ready datasets. The role involves complex SQL transformations using dbt, performance tuning, and close collaboration with AI and cloud engineering teams.
Le Big Data est aujourd’hui au cœur de la transformation digitale des entreprises. Chez nous, il ne s’agit pas seulement de technologie, mais d’un véritable levier de création de valeur pour nos clients. Vous êtes…
Build a Billing Transformation platform using React.js, Node.js, and Snowflake, handling pricing configs, rate cards, and billing rules with enterprise integrations.
Designs and builds Snowflake-native data architectures, ETL/ELT pipelines, and developer utilities to enable analytics and data products, focusing on performance, security, and governance.
The Senior Solution Engineer will serve as the primary technical advisor for a single strategic global healthcare account, driving platform adoption and designing data solutions. The role requires deep expertise in healthcare data standards, cloud data platforms, and AI/ML to support clinical and operational use cases.
Builds, deploys, and optimizes AI/ML systems for healthcare diagnostics, focusing on scalable, compliant, and production-ready ML services with Python, PyTorch, and cloud platforms.
Build near real-time healthcare data pipelines into Snowflake (Epic/FHIR/HL7), author stored procedures and notebooks, feed Snowflake Cortex LLM models, and migrate components from Databricks.
Lead Data Engineer designing and maintaining enterprise data warehouses, data lakes, and ETL/ELT pipelines using Snowflake, DBT, and AWS cloud services for a U.S. bank's India GCC.
Senior Data Engineer building and optimizing Snowflake data warehouses, ELT pipelines, and SQL-based solutions to support analytics and finance use cases at a fintech lending platform.
Mid-level Data Engineer in Gdańsk working with Snowflake Data Cloud, Snowpark, dbt, Jenkins, and SQL.
The Senior Data Engineer will design and build scalable data infrastructure and production-ready pipelines using Snowflake, DBT, and Python. This role involves managing the full data lifecycle, implementing governance, and collaborating with stakeholders to support internal decision-making and product development.
This role involves developing and deploying advanced AI and machine learning models to drive commercial analytics and business effectiveness within a healthcare context. The analyst will utilize Python, SQL, and Snowflake to process healthcare datasets and provide actionable insights for cross-functional teams.
Build and deploy AI/ML models using healthcare datasets to optimize commercial strategies, patient targeting, and forecasting for a biopharma company.
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