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Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, ML, and GenAI across the travel giant’s global brands.
Build and optimize data pipelines and warehouses for JD.com’s e-commerce risk control systems using Hadoop, Spark, and Flink.
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, experimentation, and GenAI across the travel giant’s global brands.
Principal Data Engineer designs and builds modern, cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Flink for enterprises and government clients.
Lead the development of a global enterprise platform using Java, Spring Boot, and AWS, designing APIs, databases, and event-driven services for Universal Music Group’s internal teams.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Builds and maintains scalable Java microservices with Spring Boot, real-time data pipelines using Kafka/Flink, and deploys them on AWS and Kubernetes.
Build and maintain scalable data pipelines and ML infrastructure for real-time energy market analytics using Python, AWS, and Airflow.
Senior Data Engineer builds scalable ETL/ELT pipelines and cloud-native data infrastructure for a high-performance digital-asset trading firm, ensuring reliable, secure data access in a fast-paced environment.
Build distributed Java services for a global observability platform, using Kafka and Kubernetes to process and analyze data at scale.
Data Engineer/Backend Developer building secure data pipelines and APIs for defence and security systems using Spring Boot, Flink, and React.
Build and own large-scale distributed data pipelines using Airflow/Dagster, Spark, dbt, Kafka, and AWS to power global retail analytics and decision-making.
Design and build scalable data platforms, including databases, ETL/ELT pipelines, and data warehouses, to support analytics and BI for large-scale services.
Build and harden Gorgias’ multi-cloud platform by designing secure-by-default Kubernetes and GCP architectures, enforcing policy-as-code, and running the detection/response program to meet enterprise-grade security standards.
Builds and scales a cloud-native security platform using Java, Spring Boot, and microservices, processing terabytes of data daily.
Lead the design and build of scalable data pipelines and ETL processes for a bank, using Spark, Flink, and AWS to deliver clean, real-time data for analytics and AI-driven insights.
Build cloud-native backend services and data pipelines for real-time water management analytics, integrating AI/ML features to power smart alerts and anomaly detection for utilities.
Designs and leads the architecture of a scalable enterprise data platform, including ingestion, storage, processing, governance, and consumption layers using modern cloud data tools.
Design and lead enterprise-scale data platforms, pipelines, and ML solutions for clients, using cloud-native tools and modern architectures like Lakehouse and Data Mesh.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply,…
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