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Design and maintain robust data pipelines, ensuring data quality and integrity while collaborating with clients to optimize cloud infrastructures using Hadoop, Spark, Kafka, and Airflow.
Designs, builds, and maintains big-data pipelines and Spark/Hadoop jobs for clients in finance, insurance, energy, and other sectors using Java, Scala, and Python.
Builds and maintains data pipelines using Python, SQL, Hadoop, Spark, and cloud platforms (AWS/GCP) for a tech-consulting firm.
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Builds and runs cloud-based data pipelines and analytics platforms using GCP/AWS, Spark, Python, and Terraform to support internal decision-making and high-traffic services.
Designs, automates, and secures cloud-native infrastructures for clients, containerizing apps with Docker/Kubernetes and modernizing CI/CD pipelines.
Build and maintain CI/CD pipelines and BigData infrastructure (ELK, Hadoop) using Ansible, Jenkins, Kubernetes and Docker, while supporting production deployments and Agile rituals.
Senior engineer builds and runs a cloud-based big-data platform on AWS, using Cloudera services, Kafka, Flink, NiFi, and Terraform to keep pipelines fast and reliable.
Build and scale data pipelines for TV and advertising analytics using Spark, Scala, and AWS; own resilient, cloud-native platforms handling terabytes daily.
Designs and maintains CI/CD pipelines and cloud infrastructure for scalable software delivery using Jenkins, Kubernetes, AWS, and Linux.
Build and scale automated, self-healing big-data platforms using Kubernetes, Terraform, Spark and Hadoop; advise clients on data-infra best practices.
Backend engineer building scalable Go services and cloud-native systems to deliver solar energy savings to homes and businesses via a clean-tech platform.
Designs and maintains infrastructure for a Slurm-based HPC cluster, Dockerizing workloads, building storage layers, and adding monitoring with Prometheus/Grafana/ELK.
Build and deploy scalable Java applications on AWS and Kubernetes for enterprise clients, using DevOps practices and Unix systems.
Principal GCP Data Engineer designs and builds scalable data pipelines using BigQuery, Dataflow, and Dataproc, leading teams to deliver robust, cloud-native solutions for clients.
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.
Principal Data Engineer designs and delivers secure, scalable data pipelines and cloud solutions for defence and government programmes, mentoring teams and deploying ML models.
Build and maintain scalable Google Cloud data pipelines using BigQuery, Dataflow, and Pub/Sub, ensuring high-quality, reliable data for analytics and business users.
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.
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