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The Sr Quality Analyst validates ETL pipelines by writing SQL queries, designing test cases, and ensuring data accuracy from extraction to loading in data warehouses (Snowflake/Databricks) for a life sciences consulting firm.
Owns data and AI products, defining vision and roadmaps while collaborating with technical teams to deliver solutions that drive digital transformation for clients.
Build and maintain data pipelines and ETL processes for Moscow’s Digital Twin, using PostgreSQL, Spark, Airflow, and Python to support urban planning decisions.
Analyzes fraud trends and builds dashboards in QlikSense to detect anomalies and support data-driven anti-fraud decisions using SQL, Python, and BigData tools.
DevOps engineer builds and maintains CI/CD pipelines and Kubernetes clusters for a top-3 bank’s new data cloud platform, automating builds, deployments, and infrastructure.
Senior ML engineer building internal AI services for Ozon, fine-tuning large multimodal models and retrieval systems to automate company workflows like support and HR.
Lead AI/ML projects, mentor teams, and design scalable pipelines for clients, translating complex data into business strategies using Python, Spark, and MLflow.
Build and maintain data pipelines, optimize SQL/NoSQL databases, and implement visualizations in Power BI or Databricks SQL for a global group.
Senior cloud engineer building and scaling secure, distributed systems on large-scale compute clusters using Java, Kubernetes, and AWS, with a focus on IaC, CI/CD, and on-call support.
Backend Engineer Intern working on WeChat's global platform (excluding mainland China), developing new projects and features with backend technologies including C++, Python, Golang, Java, or Scala.
Build and maintain scalable ETL pipelines and data marts using Scala/PySpark, Spark, Kafka, and Azure Databricks to power Amadeus’s travel-tech infrastructure.
Job Description Purpose of the role To effectively monitor and maintain the bank’s critical technology infrastructure and resolve more complex technical issues, whilst minimising disruption to operations.…
Design and build scalable data pipelines and warehouse models to deliver trusted insights from product and corporate systems to Salesforce teams using ETL, SQL, and big-data tech.
Design and build enterprise-grade, AI-powered full-stack applications using Java/.NET, Python, React/Angular, and cloud-native tools to modernize legacy systems across multi-cloud environments.
Build and optimize data pipelines, warehouses, and microservices for a bank’s modernization effort using Java, Python, and cloud tools like Kafka and Airflow.
Builds and maintains data pipelines, ETL processes, and data warehouses to extract, transform, and load large datasets from diverse sources (structured/unstructured) using Hadoop, PySpark, Airflow, and BigQuery. Focuses on data validation, automation, and creating actionable business insights via algorithms and SQL.
TransUnion's Job Applicant Privacy Notice Team Overview En TransUnion, estamos dedicados a encontrar formas en las que la información pueda utilizarse para ayudar a las personas a tomar decisiones mejores y más…
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Build and deploy AI/ML models and data pipelines to extract insights from structured and unstructured data for government clients, using Python, SQL, and visualization tools.
Build and maintain scalable data pipelines and platforms to process structured/unstructured data for mission-driven projects like fraud detection and healthcare research using Python, SQL, and ETL tools.
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