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Lead a team of Data Engineers to design and deliver cloud-native data platforms and AI solutions for global clients, using Python, Spark, Airflow, and major cloud platforms (GCP, AWS, Azure).
Build and maintain data pipelines and transformations for a SaaS platform serving automotive manufacturers and dealers, using dbt, Python, SQL, AWS S3/Redshift, and Parquet.
Build and maintain data pipelines and transformations for a mobility-focused platform, using AWS S3, dbt, and Redshift to feed analytics and business solutions.
Design and implement scalable cloud data pipelines and warehouses for clients using GCP/AWS/Azure, BigQuery, Spark, and DevOps practices.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Build and maintain scalable data pipelines and infrastructure using Python, Spark, and Databricks to support analytics and ML workloads on AWS.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Designs and maintains scalable AWS-based data pipelines for government intelligence programs, using ETL tools, Redshift, and Python to process large datasets securely.
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, with early AI use-case enablement.
Build and maintain scalable data pipelines and ETL processes to power AI model training and analytics at a cutting-edge AI company.
Analyze user behavior and product metrics to build dashboards and reports that guide decisions using SQL, Python, and visualization tools.
Designs and maintains scalable data pipelines and infrastructure using Python, SQL, Spark, and cloud platforms to enable analytics and AI workloads.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Senior Data DevOps Engineer builds and automates AWS CI/CD pipelines for data releases using Terraform, Kubernetes, and core AWS services to ensure reliable, scalable deployments.
Builds and maintains AWS-based CI/CD pipelines and Terraform infrastructure for data operations, focusing on Kubernetes and scalable data services.
Senior DevOps Engineer at DISCO building and scaling AWS-based cloud infrastructure, CI/CD pipelines, and observability for a legal-tech AI platform.
Build and secure AWS cloud infrastructure, automate CI/CD pipelines with GitHub Actions, and manage scalable data solutions using Terraform and EMR for a fully remote role requiring SC clearance.
Build and operate AWS/Azure cloud infrastructure and Kubernetes clusters for a global asset manager, focusing on reliability, automation, and GitOps to support trading systems and AI workloads.
Build and maintain high-traffic Go APIs and microservices in AWS, using MySQL, DynamoDB, and Redis while ensuring security and performance for a large user base.
Senior backend engineer building high-throughput event pipelines and dual-store data infrastructure in Go to power real-time product recommendations for ecommerce brands.
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