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Lead the design and implementation of high-scale data architectures for Cisco's Partner Hub analytics ecosystem using Apache Pinot, Iceberg, Flink, and Spark.
Builds and maintains Java/Spring Boot applications on AWS for JPMorgan’s post-trade systems, focusing on scalable, secure code and CI/CD pipelines while adopting AI-assisted engineering practices.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As Software Engineer III at JPMorgan Chase within Commercial & Investment Bank - Post…
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Designs and oversees TaskUs’s cloud-based data platform, choosing compute engines, open-table formats, and tiered storage to keep analytics fast, secure, and cost-efficient for high-concurrency users.
Design and validate enterprise data platforms using open table formats (Iceberg), object storage, lakehouse architectures, governance, and streaming pipelines to support AI-ready analytics and compliance.
SAIC is seeking a highly experienced and motivated Senior Software Engineer to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The successful…
Build and maintain ETL/ELT pipelines, model data in Redshift/Athena, and create Tableau dashboards to power business decisions for a mobile app company.
Soft Strategy s.p.a. cerca un Data Engineer da inserire nel team dedicato a TIDE, una piattaforma di raccolta dati in tempo reale. Il candidato implementerà e manterrà flussi CDC, garantendo integrità e zero data loss,…
Senior Data Engineer builds and operates enterprise-scale data pipelines on AWS Lakehouse, implementing ELT/ETL, streaming ingestion, and DataOps practices to deliver trusted, analytics-ready datasets for healthcare operations.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just…
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and…
Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
Build and maintain scalable data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases.
Lead a team of data engineers to build and scale a modern Data Lakehouse (AWS S3, Iceberg, EMR) and transformation frameworks (dbt) for a global streaming platform, enabling self-serve analytics and AI readiness.
Build the real-time data backbone for a new adtech standard that turns physical retail shopper behavior into anonymized, measurable audiences using edge computing, streaming pipelines, and privacy-preserving AI.
Build the data backbone for a new global Retail Media channel: transform raw sensor streams from thousands of stores into real-time measurement, forecasting, and attribution systems using Spark, Kafka, Trino, and privacy-preserving pipelines.
Build and maintain cloud or on-premise data pipelines and advise clients on modern data solutions using Python, SQL, Spark, and cloud platforms.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines for batch and streaming data across multi-cloud environments.
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