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Lead AI solution strategy across multiple projects and teams. Drive innovation in AI solution practices and model optimization. Represent the AI solution team in executive meetings. Develop long-term plans for AI…
Job Description: MLOPS Senior Lead Engineer Bachelor’s or master’s degree with 8+ years of experience in Computer Science, Data Science, Engineering, or a related field. 4+ years of experience in working with Python,…
The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R)…
Position: Senior Data Engineer Job Description: JD For Data Engineer Experience: 5 Years Tools: Azure Data Factory, Azure Databricks, Azure SQL Database, SQL, Python (PySpark), Microsoft Power BI Mandatory Skills: •…
Job Summary Synechron is seeking a Senior Python Developer with Snowflake expertise to build, optimize, and support scalable cloud-based data solutions. The role focuses on Python development, Snowflake data…
We are seeking a highly skilled Azure and Cloud Services focused IT Business Solutions Manager to join our client in Putney, London. In this role, you will be responsible for designing and delivering data-driven…
Senior ML Engineer on the Advanced Analytics team at John Hancock/Manulife, responsible for packaging models, building MLOps/LLMOps infrastructure, and deploying ML and Generative AI solutions for the insurance division using Python, cloud platforms, and containerization.
Data Architect designing and leading enterprise-scale data and analytics solutions using Microsoft Fabric, Azure Data Services, Databricks, and Power BI, while mentoring a small team of data engineers at a large consulting and accounting firm.
Design and lead the implementation of modern enterprise data platforms, including data warehouses and lakehouses, using tools like Azure Data Factory, Databricks, and Snowflake, while creating data models and migration plans for clients.
The Lead Online Data Engineer builds and maintains data pipeline architectures and infrastructure to transform business data into actionable insights. The role involves mentoring team members, managing complex projects, and utilizing tools like Python, BigQuery, and PySpark to optimize data flows.
The ETL Developer will design, build, and optimize enterprise-scale data integration pipelines to support business intelligence and cloud modernization initiatives. The role requires extensive experience with ETL platforms, advanced SQL, and cloud data services to manage high-volume data workflows.
Обязанности: Приглашаем присоединиться к проекту направленного на реализацию комплексного решения по индивидуализации ценообразования банковских продуктов физ.лиц. Наша цель создание автономной расчетной системы для…
The Senior Data Architect will lead enterprise data architecture and engineering for a DoD program using Palantir Foundry and Databricks. This hands-on role involves designing data models, building ETL pipelines, and developing Foundry Ontologies to support mission-critical applications.
Our Story At Alight, we believe a company’s success starts with its people. Alight embraces values that come directly from our people – purposeful, human, united and growth-minded – reflecting our inclusive culture and…
Data Engineer designing, building and optimizing data infrastructures and pipelines at client organizations via Solid Professionals, using SQL, Python, PySpark, and cloud platforms like Azure.
Data Engineer building scalable cloud data pipelines and infrastructure using Azure, SQL, and Python, placed at enterprise clients like Eneco, KPN, and ING in the Netherlands.
Senior Azure Data & DevOps Engineer designing and optimizing data pipelines on Azure Data Factory, Databricks, Python/PySpark for Market Abuse Monitoring, while driving DevOps standardization and CI/CD improvements across teams.
Data Engineer at Wipro leading Tableau-to-Power BI migration, building data schemas on Azure/Databricks, and driving analytics in a hybrid Toronto role.
Build and maintain data pipelines and transformations, design data models, and ensure data quality using SQL, Python, and PySpark on cloud data platforms.
Builds and maintains data pipelines, ETL/ELT processes, and SQL scripts to extract, transform, and load data for business use. Focuses on Apache Spark, IBM InfoSphere, Informatica, and database technologies.
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