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Build and maintain cloud data pipelines, warehouses, and analytics solutions using Azure/GCP/AWS, SQL, PySpark, and BI tools for enterprise clients.
As a Senior Data Engineer, you will design, develop, and optimize ETL/ELT pipelines and data architectures for diverse international clients using Python, SQL, Snowflake, dbt, and orchestration tools like Airflow or Dagster. You will work within a remote-friendly, autonomous team environment focused on delivering high-quality data solutions across cloud platforms.
Design and build scalable data pipelines on Azure Databricks and related Azure services to support analytics and reporting.
The Junior Data Engineer will join the AI Markets team to develop and optimize kdb+ time-series databases, building analytic layers and APIs for traders and quants. The role involves working with large datasets, performance tuning, and integrating data with AI/ML workflows.
This role involves leading end-to-end data engineering initiatives to support AI use cases, including building ELT pipelines and maintaining dbt models. The position requires extensive experience with Snowflake, Azure, and Python to deliver scalable analytics datasets.
The Data Engineer will design and implement batch and streaming data pipelines using Spark and Python. The role involves building ETL/ELT processes and collaborating with data teams to ensure data quality and performance.
Builds and maintains data pipelines and warehouses on Azure, using Spark, SQL, and ETL tools to enable analytics and reporting.
The Data Engineer will design and optimize scalable cloud data pipelines and manage migrations to Google BigQuery. The role involves collaborating with cross-functional teams to deliver production-ready data products for BI and reporting.
The Data Engineer will design and implement batch and streaming data pipelines within Google Cloud Platform. The role involves integrating systems and collaborating with data analysts and architects using tools like BigQuery, Dataflow, and Airflow.
The Data Engineer will design, build, and maintain end-to-end data pipelines for the financial services sector using Python, SQL, PySpark, and Azure Databricks. The role involves data integration and quality assurance within a cloud-based environment.
The Senior Azure Cloud Engineer will lead the design, implementation, and management of cloud infrastructure on Microsoft Azure. The role involves building secure, scalable, and automated environments while collaborating with DevOps, security, and development teams.
Dynatrace is looking for a Senior Java Engineer to develop and maintain secure, scalable Identity and Access Management (IAM) solutions. The role involves working with cloud technologies like AWS and Kubernetes in a hybrid office environment.
The Senior DevOps Engineer will design and scale cloud infrastructure while leading an ECS-to-Kubernetes migration. The role focuses on implementing Infrastructure as Code with Terraform and optimizing CI/CD pipelines using GitHub Actions.
The Senior DevOps Engineer will manage, deploy, and optimize Magento applications on a Red Hat stack while architecting Azure infrastructure. The role involves building CI/CD pipelines, implementing security scanning, and maintaining system monitoring.
The Senior DevOps Engineer will manage, optimize, and deploy Magento applications on RHEL8 and Azure cloud infrastructure. The role focuses on CI/CD pipeline automation, container management, and implementing observability solutions.
The Senior DevOps Engineer will manage Magento deployments on a Red Hat stack, architect Azure cloud infrastructure, and lead CI/CD processes using Jenkins and Azure DevOps. The role also involves implementing security integrations and maintaining observability across systems.
The DevOps Engineer will design, implement, and maintain scalable infrastructure for the Loan IQ financial system. The role focuses on automating CI/CD pipelines, monitoring system performance, and collaborating with technical and business teams to optimize financial application processes.
The DevOps Engineer will develop and automate CI/CD pipelines and operational tasks within a banking environment using OpenShift and GitOps. The role focuses on implementing DevSecOps practices and integrating AI to optimize deployment workflows.
Builds and maintains data pipelines, ETL/ELT processes, and cloud infrastructure in Azure using Python, Bash, and Terraform for a data-focused product team.
The AWS DevOps Engineer will manage and optimize cloud infrastructure, focusing on automation, IaC, and CI/CD pipeline implementation. The role involves collaborating with development teams using tools like Terraform, Docker, Kubernetes, and GitHub Actions or GitLab CI.
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