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Build and maintain scalable data pipelines and cloud-based data warehouses to feed analytics and ML systems using Python, SQL, and tools like Airflow and Snowflake.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
Design and scale robust data pipelines and infrastructure for AI-driven infrastructure projects, using cloud-native tools like Spark, Kafka, and Airflow to process IoT and telemetry data.
Design and build cloud-based data pipelines and warehouses for clients, using AWS/Azure/GCP, SQL/NoSQL, and ETL tools to enable analytics and decision-making.
Daily monitoring of data-quality rules in Ataccama, documenting issues, and coordinating fixes with business teams and data engineers.
Key Responsibilities Architecture DesignMinimum 2+ years of experience in architecting enterprise-scale Data platforms for large organizations or business units.Expertise in Designing and defining enterprise data…
Builds and maintains BigData ETL/ELT pipelines in Python/Java, moving data from APIs, logs and databases into DWH and Data Lake using Spark, Airflow and Hadoop tooling.
Maintain and scale Qlik’s cloud platforms, ensuring high availability and reliability for millions of transactions using Kubernetes, Terraform, and observability tools like Prometheus.
Develops, tests, and maintains C++/Linux/Oracle-based software for a pharmacy benefit manager, using AWS, React, and .NET in a healthcare-focused environment.
Designs, builds, and maintains enterprise ETL pipelines using Talend to integrate data across systems, ensuring security, integrity, and reliability.
Build and maintain data pipelines for ETL processes, collaborating with senior engineers to integrate data from multiple sources and optimize performance.
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
Senior Cloud Data Engineer builds and operates modern cloud-based data pipelines and analytics platforms using Python, Spark, SQL, and cloud services like Azure/AWS to process large-scale data for AI and analytics use cases.
Design and build scalable cloud data platforms on Azure/Databricks, integrating real-time and batch pipelines for large, diverse datasets while mentoring teams and advising clients.
Lead a team managing Red Hat OpenShift platforms for government AI/data systems, handling Day 2 operations, security patching, and SLA compliance while mentoring staff and engaging client stakeholders.
Design and maintain enterprise-scale cloud data platforms, data lakes, and lakehouses to power BI, AI/ML, and real-time analytics using AWS, Snowflake, Spark, Kafka, and Python.
Build and maintain data pipelines, ETL processes, and visualization solutions in Azure to deliver analytics-driven insights for clients using Power BI, Tableau, and SQL.
Designs and leads enterprise-scale data/analytics platforms for a bank, integrating AI/ML, cloud-native tools, and regulatory-compliant architectures to enable real-time insights and predictive modeling (e.g., fraud detection, credit scoring).
The role: We are looking for an Integration Senior Consultant to join our established Integration practice and take the next step up in independent MuleSoft delivery. You will be building increasingly complex APIs and…
Unsere Business Line «Data, Analytics & AI» ist verantwortlich für die Bereitstellung und Nutzung von Technologieplattformen, welche die Wertschöpfung unserer Kunden fördern. Die zahlreichen exklusiven Projekte…
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