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Hands-on DevOps Engineer owning cloud infrastructure, automation, CI/CD, monitoring, and production reliability across AWS and data-tools, using Terraform, GitHub Actions, Docker, PostgreSQL, Redis, Datadog, Airflow, and Python.
Data Center Technician Location: Reno, NV Employment Type: Contract Contract Duration: 1 year to start Pay Rate: $30–$40 per hour Manager Notes: Ideal candidates will have the following experience: Experience working…
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines using Informatica and dbt to support enterprise analytics. The role involves collaborating with business stakeholders to build data models and ensure high-quality data integration across the organization.
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
The Data Engineer will design and maintain scalable data pipelines and ETL processes to support data-driven decision-making. The role involves working with Google Cloud technologies like BigQuery, Airflow, and dbt within an international gaming company.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes using GCP, Airflow, DBT, and Kafka to support data-driven decision-making.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes using GCP, Airflow, and dbt to support data-driven decision-making. This role involves ensuring data quality, optimizing performance, and managing data models within a gaming company environment.
The Data Engineer will design, model, and develop GCP-based data ecosystems, including data lakes and warehouses, while collaborating directly with clients. The role involves building data pipelines, optimizing storage architectures, and mentoring team members using technologies like BigQuery, Python, and Airflow.
Data Engineer in Milan building scalable batch and streaming data pipelines (Kafka, Flink, Spark) for analytics and ML products in a cloud environment, with a focus on data governance and reusable components.
Data Engineer designing scalable data pipelines, workflow automation with AI Agents, and maintaining a cloud-based Data Platform on GCP for a large omnichannel home-improvement retailer.
Data Engineer III building and maintaining cloud-based data pipelines, lakehouse architectures, and analytics solutions on AWS (S3, Glue, EKS, Lambda) using Python and Spark for JPMorgan's International Consumer Bank.
Data Engineer at an IT consultancy building modern data platforms, ETL/ELT pipelines, and data warehouses on cloud (AWS/Azure/GCP) using SQL and Python for various client projects.
Data Engineer at a media agency building and optimising ETL data pipelines in Azure/Adverity, writing SQL for bespoke client reporting, and supporting marketing intelligence delivery for entrepreneurial brands.
Senior DevOps Engineer building and maintaining the infrastructure platform behind a SaaS audit/analysis tool, focusing on CI/CD, observability, security, and developer experience using Docker, Kubernetes, and cloud platforms.
Senior Data Analyst builds and maintains ETL pipelines, analyzes large datasets, and creates visualizations using Python, SQL, and tools like Tableau or Spark in Moscow.
QA Software Engineer designs and maintains automated tests for distributed broadband software systems, integrating CI/CD pipelines and performance benchmarks using Java, Python, JUnit, Playwright, and Kafka.
Senior Data Engineer building a modern AWS-based data platform from scratch for a Nordic bank, designing pipelines, ensuring governance, and mentoring teammates in a hybrid role across Sweden.
Own and maintain ETL/ELT data pipelines, databases, and workflow orchestration for a credit risk research initiative at NUS's Asian Institute of Digital Finance, with opportunities to contribute to AI/LLM research.
Data Engineer at Prima, an online motor insurance provider, building and maintaining data products and pipelines for the pricing and underwriting domain using Kafka, Spark, Python, and AWS.
Shape data product architectures for analytics and ML, build scalable batch and streaming data pipelines, and collaborate with data scientists using Kafka, Flink, Spark, Databricks, and Airflow in a cloud-based environment.
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