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The Senior Data Engineer will design and maintain the company's data platform, focusing on end-to-end data pipelines and integrating AI-driven context management. The role involves building scalable, reliable data solutions using modern cloud technologies like Snowflake, Python, and streaming tools.
Meet the Team Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform at Webex. The platform forms the base on which other teams, including the WAP team, develop…
Data Engineer building an on-premises data platform using Kubernetes, Python, Golang, and SQL, focusing on batch/streaming pipelines and platform automation in a hybrid role in Dresden.
This is a pre-sales technical role focused on designing and presenting cloud-native data engineering and streaming architectures to enterprise clients. The specialist will lead Proofs of Concept, influence product roadmaps, and provide deep expertise in technologies like Apache Spark, Kafka, and Flink to support AI-ready data foundations.
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off…
Peregrine Advisors is a firm founded on a simple conviction: the best solutions come from the people closest to the problem, given real ownership and the tools to deliver. We are a data and technology innovation hub…
The Senior Data Engineer will manage and optimize database systems including MS SQL Server and PostgreSQL, while leading the migration of legacy SSIS pipelines to a modern data lakehouse environment. The role involves designing scalable data solutions, ensuring data governance, and collaborating with business stakeholders to translate requirements into technical data architectures.
Senior DevSecOps engineer leading GitLab CI/CD pipelines, GCP cloud infrastructure with Terraform IaC, cloud security/IAM, and lakehouse data platform (Starburst/Trino, BigQuery, Iceberg) for a Bengaluru-based company.
We are seeking a talented Data Engineer to design, build, and maintain scalable data solutions that transform operational and customer interaction data into actionable business insights. This role focuses on developing…
Senior Database Reliability Engineer designs and maintains scalable, fault-tolerant database infrastructure at AppDirect, using AI-assisted automation and cloud-native tools like Terraform, MySQL, PostgreSQL, and AWS.
Build and operate ELT pipelines and a unified healthcare data ontology on AWS/Snowflake, using Python, SQL, and orchestration tools like Prefect or Airflow.
Build high-performance trading systems and analytical tools in Python for internal use, collaborating closely with traders and researchers to develop scalable applications and data-driven solutions.
Graduate Software Engineer at IMC Trading in Zug, Switzerland, building and optimizing low-latency data pipelines for crypto and traditional finance trading systems using Python and statically typed languages.
Build and operate scalable data infrastructure and experimentation platforms for mobile games at Scopely in Tokyo, using GCP, BigQuery, Apache Beam/Spark/Flink/Kafka, Kubernetes, Airflow, and Terraform with AI-native development workflows.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
The VP of Data Engineering will design and implement scalable data platforms and microservices using Java, Python, Apache Spark, and Kafka. The role involves building cloud-native solutions on Kubernetes and integrating Generative AI capabilities into enterprise banking applications.
Data Architect responsible for defining, evolving, and governing Toyota LatAm's lakehouse data platform architecture, including data modeling, security standards, and governance practices using cloud data platforms like Azure, AWS, and Databricks.
The Data Engineer will design and build scalable data lakehouse platforms and ETL pipelines on AWS for a government project. The role involves implementing data quality frameworks, using infrastructure-as-code tools, and ensuring robust data governance.
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