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Build and scale EVA’s data infrastructure (BigQuery, dbt, Lightdash) to track player behavior, arena performance, and franchise KPIs, then deliver self-service dashboards and analytics that drive business decisions across marketing, operations, and game teams.
Senior Data Engineer builds and runs AWS-based data pipelines, mentors junior engineers, and advises clients on scalable data platforms using Python, Spark, and Airflow.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Build and maintain cloud data pipelines and analytics for banking/insurance clients using Spark, Kafka, AWS, and Python, with a focus on data quality and risk/finance reporting.
Build and maintain cloud-based data pipelines in Python and SQL, design modern data platforms (Data Lake, Warehouse), and ensure data quality and observability for analytics and AI projects.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
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).
Senior Data Engineer building scalable data pipelines and Lakehouse architectures on Databricks and AWS, using Spark, Python, and ML tools to deliver end-to-end data solutions for enterprise clients.
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.
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.
Lead a small team to design and deliver Snowflake-based data pipelines and AI workflows for Sanofi, using DBT, Airflow, Python, and AWS to scale GenAI and agentic AI systems across a global biopharma enterprise.
Build and optimize scalable data pipelines on Databricks and cloud platforms, transforming raw data into automated, production-ready analytics and AI infrastructure using Python, Spark, and IaC.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Designs, deploys, and maintains secure, highly available cloud infrastructure on AWS/Azure/GCP, automates CI/CD pipelines, and runs containerized environments with Kubernetes while ensuring reliability through SRE practices.
Build and maintain automated test suites and CI/CD pipelines for a GMAO software suite, using TypeScript, Docker/Kubernetes, and Terraform/Ansible to ensure reliability and scalability.
Build and maintain cloud infrastructure for e-commerce and payment systems using Python, GCP, Terraform, GitHub Actions, and GitOps.
Senior DevOps engineer designing robust, high-performance financial systems (risk/PnL/XVA) and migrating legacy architectures to cloud, using C#/Java, CI/CD pipelines, and IaC on Azure/AWS.
Senior Azure DevOps engineer builds, maintains, and optimizes CI/CD pipelines and cloud infrastructure for a software publisher, ensuring smooth releases and system reliability.
Maintains CI/CD pipelines (GitHub Actions), deploys apps via Argo CD, and manages Azure Kubernetes clusters with Terraform and Helm for a DevSecOps-driven platform.
Design and maintain GCP cloud infrastructure, automate deployments with Terraform, and build CI/CD pipelines using GitHub Actions for a product team.
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