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Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Design and maintain hybrid cloud infrastructure for NATO’s Air C2 system, automating deployments with Terraform and Kubernetes while ensuring security compliance.
Build and maintain cloud-native full stack apps using Node.js, React, and AWS serverless services like Lambda and DynamoDB.
Build and automate modern infrastructure platforms, CI/CD pipelines, and observability for backend and frontend services using IaC, Kubernetes, and DevSecOps practices.
Build and automate cloud infrastructure, CI/CD pipelines, and observability for microservices using Terraform, Kubernetes, and GitLab CI in a DevSecOps role.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build and automate cloud infrastructure on AWS, design CI/CD pipelines, and manage Kubernetes deployments for a product team.
Designs and maintains cloud infrastructure, CI/CD pipelines, and Kubernetes clusters to automate software delivery and improve system reliability for a product company.
Designs and maintains cloud infrastructure, CI/CD pipelines, and Kubernetes clusters to automate software delivery and ensure high availability for a product-focused company.
Principal engineer building and operating low-latency, resilient backend services and migration tools for Snowflake/Databricks on AWS/Azure, leading a software pod and setting platform engineering standards.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Senior Data Engineer builds and maintains ETL/ELT pipelines, data models, and quality checks using AWS, Spark, Python, and Databricks to deliver clean data for analytics and ML teams.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Designs and maintains CI/CD pipelines and infrastructure-as-code (Terraform/CloudFormation) to deliver enterprise SaaS apps reliably on AWS and other clouds.
Build and maintain secure, high-performance container images and CI/CD pipelines for a cloud-native security automation platform, optimizing builds and integrating vulnerability scanning.
Build and maintain CI/CD pipelines, developer tools, and cloud infrastructure to accelerate engineering teams at a mobility data company.
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