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Senior Scientific Data Engineer on Abbott's Cancer Diagnostics R&D data platform, building Python/SQL tools, data pipelines, and AWS-based solutions to help researchers organize, validate, and analyze complex scientific data.
Build and support ETL/data transformation jobs (PySpark, IBM DataStage, SQL) on AWS for a global data warehouse, including code reviews, integration testing, root cause analysis, and Control-M scheduling.
Design, build, and operationalize AI-driven solutions including RAG pipelines, enterprise copilots, and agent-based automation frameworks using LLMs, Snowflake, Power BI/Fabric, and Azure AI platforms for the Analytics & Reporting team.
Design, build, and deploy LLM-powered applications—RAG pipelines, enterprise copilots, and agent-based automation frameworks—using Python, Snowflake, Azure AI Foundry, and LangChain on top of enterprise data platforms at a medical technology company in Atlanta.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
The Senior Data Engineer will lead data engineering initiatives to improve manufacturing and operational performance at Abbott's diabetes care facility. The role involves designing and maintaining ETL/ELT pipelines using Oracle PL/SQL and AWS cloud services to support data-driven decision-making in a regulated environment.
Design, build, and deploy LLM-powered applications (RAG pipelines, enterprise copilots, agent-based automation) integrated with Snowflake and Power BI/Fabric at Siemens Healthineers, using Python, LangChain, Azure AI Foundry, and Azure OpenAI.
The Senior Data Engineer at Royal Bank of Canada leads data engineering projects, develops complex data architectures, and drives quality engineering and automation initiatives. The role involves collaborating with cross-functional teams to design data solutions and ensure accessibility for analytics.
Designs and implements enterprise data management solutions, translating business needs into technical specifications, configuring platforms, and ensuring data quality, governance, and security. Works with clients and cross-functional teams to deliver data solutions aligned with enterprise strategy.
About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect…
Your Role We are looking for a Customer Engineering Manager who will be largely responsible for leading and supervising a team of data engineers as they develop, test, modify, and deliver solutions to US Healthcare…
Own the multi-year vision for store selling insights, migrating from desktop BI to mobile-first, AI-powered analytics that empower store leaders to make data-driven decisions.
The Business Analyst will manage regulatory tax reporting projects within a private banking environment, acting as a bridge between business users and IT teams. The role requires deep expertise in banking operations, tax regulations, and technical proficiency in SQL and Excel.
6-month UAT contract validating data accuracy and system functionality across data ingestion, transformation, and dashboard reporting workflows using SQL and ETL knowledge.
The Senior Data Engineer will design and manage autonomous, production-grade ETL/ELT pipelines using Python, PySpark, and SQL Server. The role involves implementing lakehouse architectures, deploying containerized solutions via Kubernetes, and ensuring robust data governance and CI/CD practices.
The Senior Data Engineer will lead the development of Xiaomi's data platform, designing scalable infrastructure and DaaS solutions to support analytics and data science teams. The role involves optimizing data pipelines, implementing data governance, and mentoring junior engineers using technologies like Flink, Iceberg, and Doris.
The Data Engineer will design, build, and maintain scalable data pipelines and architecture for Finance stakeholders using Databricks and Google Cloud Platform. The role focuses on ingesting, processing, and transforming large-scale datasets to support analytical and operational requirements.
Lead Data Engineer designing and building scalable data pipelines and data services using Hadoop, Ab Initio, EXADATA, and cloud platforms (AWS/Azure/GCP) to support enterprise risk management and business intelligence at a major bank.
Build, deploy, and optimize data warehouses, data lakes, and ETL pipelines using SQL, Python, and cloud-based data platforms like Snowflake for Fortune 500 clients.
The Databricks Data Engineer will design and implement scalable ETL/ELT pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role requires deep expertise in the Databricks ecosystem, including Spark, Delta Lake, and Unity Catalog, to build robust, secure, and governed data solutions.
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