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Design, develop, and deploy cloud-native data solutions using AWS Glue, Python, and Node.js, with a focus on data processing, SQL optimization, and DevOps practices like CodePipeline and CloudFormation.
The Senior Data Infrastructure Engineer will design, build, and maintain the company's data platform, including pipelines, data warehouses, and BI reporting. The role focuses on scaling data infrastructure using AWS, Spark, and orchestration tools like Airflow or Dagster to support cybersecurity operations.
Builds and maintains scalable data pipelines using distributed processing tech (GCP, Spark, Airflow) to ingest, transform, and deliver high-quality data. Focuses on database organization, data modeling, API integrations, and migrating to cloud platforms like BigQuery or Microsoft Fabric.
12-month contract Data Platform Engineer role focused on migrating customers from Cloudera to AWS native data services, including building automation for data migration workflows and ensuring data integration integrity.
Design, build, and operate AWS cloud platforms supporting enterprise data transformations for a consulting firm, using Terraform, serverless AWS services (S3, Redshift, Lambda, Glue), CI/CD pipelines, and Kubernetes.
Specialist Data Engineer building scalable pipelines and MLOps frameworks on Databricks and GCP, using PySpark, Airflow, and MLflow.
Designs and optimizes AWS-based cloud infrastructure, data systems, and AI-driven analytics for a real estate management platform (Entrata), shaping data flows and custom tools to support business operations and resident experience.
Leads AWS data platform engineering, designing scalable cloud-native data pipelines and frameworks while mentoring teams and driving innovation in AWS services for enterprise-wide data initiatives.
Build and maintain AI-powered analytics pipelines and semantic layers that turn enterprise data into trustworthy, actionable insights for business users across procurement, manufacturing, and sales.
Design and build scalable data ingestion and streaming pipelines on Azure/AWS that feed AI and analytics systems, working with structured enterprise data and IoT/edge device data from manufacturing environments.
Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary At PwC, our people in Cloud, Data and AI focus on leveraging data to drive…
Cloud Engineer leading the design, deployment, and monitoring of AWS and Azure cloud infrastructure, including data pipelines, IaC (Terraform/CloudFormation), and Python/PySpark-based solutions on a hybrid basis in Trenton, NJ.
The AWS Data Engineer will design, build, and maintain end-to-end data lake and lakehouse solutions on AWS. The role involves developing ingestion pipelines, managing data transformation workflows, and enforcing security and governance standards using AWS services.
The Software Consultant (Data Engineer) designs and maintains scalable data pipelines and ETL workflows on AWS using PySpark, Python, and serverless technologies. The role involves infrastructure management via Terraform and collaboration with stakeholders to support data modernization and governance initiatives.
The Data Engineer will design and maintain scalable data pipelines, warehouses, and lakes while developing backend APIs to support data-driven products. The role involves using cloud platforms, ETL frameworks, and web scraping technologies in an Agile environment.
Database Administrator/Data Engineer responsible for ensuring database stability, performance, and security across cloud and on-premises environments. Works with SQL, Microsoft SQL Server, AWS services, and AI capabilities to support research administration systems.
The Senior Backend Developer will design and evolve scalable microservices using Node.js, TypeScript, and NestJS. The role focuses on event-driven architecture, cloud infrastructure (AWS), and maintaining high-performance APIs and database integrations.
Senior .NET Backend Developer building scalable microservices and event-driven architectures using C#, .NET 6+, SQL/NoSQL databases, Redis, and AWS, in a hybrid role in São Paulo.
Big Data Engineer at Keyrus France building data pipelines and CI/CD processes using Scala, Spark, and cloud platforms (GCP, AWS, Azure) for client consulting projects.
Builds and maintains AWS-based data pipelines (ingestion, transformation) for a Data Lake/Lakehouse, ensuring scalability, security, and compliance while collaborating on architecture standards and troubleshooting data issues.
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