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Lead a team building and optimizing large-scale ETL pipelines and cloud-native data solutions using Python, PySpark, AWS, and Snowflake to power JPMorgan Chase’s financial data products.
Lead data engineering strategy across multiple projects and teams. Drive innovation in data engineering practices and model optimization. Represent the data engineering team in executive meetings. Develop long-term…
The AI and Data Platform Lead oversees the design, development, and management of enterprise AI products and integrated data platforms within the healthcare sector. The role focuses on leveraging SAP technologies, including SAP BDC and SAP Joule, to deliver scalable, compliant, and AI-enabled solutions.
The AI and Data Platform Lead oversees the design, development, and deployment of enterprise AI products and data platforms within the healthcare sector. This role focuses on integrating SAP-based AI solutions, managing cross-functional engineering teams, and ensuring compliance with data privacy and regulatory standards.
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.
Data Engineer II designing and building ETL/ELT data pipelines and maintaining an enterprise data warehouse on Snowflake with DBT, Python, and AWS cloud services for a major U.S. bank's India GCC.
We are looking for a highly skilled Data Engineering Team Lead with a deep background in big data architectures and a proven track record of leading high-performing technical teams. You should be passionate about…
Condé Nast is one of the world's most renowned media publishing companies, creating and distributing every type of media today, spanning print and digital publishing in all formats. With a portfolio of some of…
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience…
Axians zoekt een Senior Data Engineer voor de Data & AI unit in Laren (NH). Je ontwerpt, bouwt en optimaliseert schaalbare data- en ML-platformen voor klanten in financiën en publiek domein. Je geeft richting,…
PT Yupi Indo Jelly Gum is seeking a Data Engineer to design, develop, and maintain scalable ETL pipelines from ERP/SAP systems into centralized data stores. You will build data warehouses and models to support…
The Data Engineering Lead designs and builds scalable data platforms and AI-ready infrastructure, leading technical projects and shaping engineering culture at an AI-focused startup consultancy in Stockholm.
Leads design and development of modern data platforms, pipelines, and AI-ready infrastructure for clients while shaping Vantir’s technical direction and engineering culture as a founding team member.
Design, develop, and maintain GCP data pipelines and solutions for healthcare clients, working with BigQuery, Cloud Composer/Airflow, Dataproc/Spark, Python, and DBT.
Lead Data Engineer & Team Lead building and maintaining data pipelines, ETL/ELT processes, and cloud architecture, while leading the Data & Insights team for a global faith-based organization in Cape Town.
Lead Data Engineer building and maintaining cloud-based data pipelines, ETL/ELT workflows and data architecture while mentoring a team for a global faith-based organisation in Cape Town. Core tech: SQL, Python, cloud data platforms (Azure Data Factory, Databricks, BigQuery, Snowflake), Docker, Git.
Senior Staff Engineer architecting scalable data platforms and guiding cross-functional teams at a bank, focusing on high-level designs, technology evaluation, and security standards across data pipelines.
The Lead Data Engineer will design and build scalable data pipelines, APIs, and AI-driven data products within the Data Marketplace Tech team. The role involves hands-on development, mentoring junior engineers, and implementing modern data engineering practices using AWS, Python, and AI/ML technologies.
Lead a data engineering chapter within Economic Crime at Commonwealth Bank, splitting time between hands-on engineering (solution design, architecture, coding on AWS and Snowflake) and people leadership, driving modernization from legacy big data platforms to cloud-native data engineering.
Leads cloud-based GIS data engineering for a 12-month contract, designing scalable pipelines on Azure/AWS/GCP while managing hybrid teams in Perth.
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