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The BAU Lead - Data Engineering will manage data operations, production support, and platform stability in a cloud-first environment. The role involves leading a team to build and maintain data pipelines using AWS, Snowflake, Python, and Spark.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
Lead day-to-day BAU data engineering operations and production support for a Singapore-based insurance company, focusing on AWS and Snowflake data platforms, pipeline development, and data migration.
Build and secure AWS-based data lakehouse pipelines for a government client, using Glue, Redshift, Lambda, and Lake Formation.
The Senior Backend Engineer will develop and maintain a high-traffic search engine using Node.js and TypeScript, while managing large data volumes via Google BigQuery. The role involves building scalable APIs and collaborating with cross-functional teams to enhance search outcomes and system architecture.
The Data Engineer will build and maintain data models and ELT pipelines using Google BigQuery, dbt, and Python to support the agency's analytics and reporting. This role involves transforming advertising and content data into governed datasets and requires working on-site in Omaha.
Build and deploy ML pipelines for document intelligence using AWS, focusing on GenAI, RAG, and multi-modal models to extract data from large PDFs for mobility clients.
Zenta Group is seeking a Cloud & Data Engineer to design, develop, and operate cloud-based data platforms using AWS. The role focuses on building data pipelines, managing batch and streaming processing, and modernizing data warehouses.
The Cloud & Data Engineer will design, develop, and operate cloud-based data platforms using AWS services. The role focuses on building data pipelines, managing batch and streaming processes, and automating infrastructure using tools like Terraform.
Who are we, and why are we hiring? We're based on over 15 years of success, producing world-class video content and building, developing, and managing a number of high-traffic websites. Our award-winning content…
Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and…
Senior AWS Cloud Engineer providing enterprise architecture, IaC leadership, and security/compliance design on AWS with Kubernetes, Terraform, and serverless services, while mentoring engineering teams.
Designs and maintains scalable data pipelines and warehouses, integrating diverse sources to enable analytics and reporting using Python, SQL, and cloud tools.
Delivery Centric is looking for a Data Engineer to build and support scalable cloud-native data solutions using SQL, Python, and various AWS data services. The role involves designing ETL/ELT pipelines, performing database tuning, and implementing data governance practices.
About Eucalyptus We're on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We're here to build better long-term…
The U.S. Pharmacopeial Convention (USP) USP is an independent scientific organization that collaborates with the world's top experts in health and science to develop quality standards for medicines, dietary…
Design and architect enterprise data platforms, pipelines, data models, and visualizations for federal government clients, spanning data engineering, BI, and data science. Core technologies include AWS services, Databricks, Spark, Kafka, SQL databases, and Python.
Designs and migrates mission-critical public-sector data platforms to AWS, specializing in cloud-native architectures, Kubernetes, IaC, and CI/CD pipelines for scalable, secure enterprise systems.
The Data Engineering Lead will own the design, architecture, and operation of the company's data warehouse, ingestion pipelines, and billing data models. This hands-on role involves using Python, SQL, and modern data stack tools to build robust infrastructure and reporting systems while transitioning into a leadership capacity.
Are you passionate about turning data into actionable insights and automating legacy systems? We’re looking for a Data & Automation Engineer to join our team in Seville and help modernize our enterprise data…
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