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Build and optimize CI/CD pipelines for Oracle databases and PySpark deployments using OpenShift, Jenkins, and Docker to automate data engineering workflows.
Lead a team to build and maintain big-data pipelines using Hadoop/Spark and Python/Java, enabling faster, data-driven business decisions in a hybrid setup.
Designs and implements enterprise-scale data platforms (Data Lake, Warehouse, Mesh) using cloud and on-prem tools, then guides teams on best practices for storage, processing, and governance.
Build and operate large-scale data infrastructure (SQL/NoSQL, Kafka, Hadoop) and cloud-native systems to ensure reliability and performance for Criteo's adtech platform.
Design and maintain scalable data pipelines and warehouses, using Python/Java, Spark, Hadoop, and NoSQL to feed analytics and data science workloads.
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
Builds and maintains web features using Symfony or Phalcon backends and AngularJS/jQuery frontends for a digital marketing agency.
Senior Data Engineer builds and optimizes data pipelines using SQL, Python, Spark, and cloud tools like Azure Data Factory and Databricks to deliver scalable data solutions.
Build and lead production AI systems for a global ecommerce platform, including LLMs, agents, and retrieval-augmented generation, spanning design, deployment, and monitoring.
Build production-grade AI features and services for a global ecommerce platform, integrating LLMs, RAG, and agent workflows using Java, Python, and cloud-native tools.
Mô tả công việc: - Implement, monitor, and maintain data pipelines for market, transaction, reference, and other data. - Perform all needed data cleansing and transformation to improve data quality. - Work closely with…
Builds and maintains cloud-based data pipelines, transforms raw data into clean datasets, and integrates ML models for scalable analytics and visualization.
Builds and optimizes cloud-based marketing data pipelines on Google Cloud, transforming raw data into clean, structured datasets for analytics, BI, and ML models.
Designs and builds secure, scalable GCP data pipelines and warehouses to turn raw data into business insights using BigQuery, Dataflow, and Scala/Java/Python.
Build and maintain large-scale data warehouses and pipelines for TikTok LIVE, processing billions of records daily using SQL, Python, and big data tools like Spark and Kafka.
Leads AI agent design, testing, and deployment for a financial group, focusing on robust, safe workflows and LLM evaluation in Python and Azure.
Lead/Senior Software Engineer building and maintaining Singapore’s government-wide data infrastructure, including cloud-based pipelines, APIs, and observability systems using DevOps and distributed computing tools.
Builds and maintains scalable Hadoop/Kafka pipelines on AWS EMR for real-time data processing and storage in a high-volume enterprise environment.
QA Engineer builds and runs test cases for big-data pipelines using Spark, Hive, and HBase in a Hadoop environment.
Migrates legacy data marts to new platforms using SAS, SQL, Python, and Hadoop; builds ETL scripts, validates outputs, and documents data for governance.
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