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Azure Data Engineer - Build Scalable Cloud Data Pipelines
Build and maintain scalable cloud data pipelines in Azure, transforming raw data into insights using PySpark, Databricks, Fabric, and Snowflake for clients in healthcare, retail, energy, and government.
Data engineer
Build and maintain scalable data pipelines and warehouses for an e-commerce shipping platform, ensuring reliable data flows for logistics, customer insights, and financial processes.
Data Engineer
Designs, builds, and maintains cloud-native data pipelines and warehouses using Python, Dagster, and DBT to integrate batch and streaming datasets for enterprise clients.
Data Engineer
Build and optimize data pipelines and platforms (Azure, Databricks, dbt) for clients, using Python, SQL, Spark and ELT/ETL patterns to enable analytics and AI.
Data Engineer
Build and optimize cloud-based data platforms for clients using Microsoft Azure, Python, SQL, and ETL tools to transform raw data into reliable, scalable pipelines for analytics and AI.
Data Engineer
Build and optimize a global data platform serving tens of millions using Python, Airflow, Kafka, and Kubernetes to improve performance, cost, and data quality.
Data Engineer
Build and maintain Azure Databricks and Microsoft Fabric data pipelines, ETL/ELT processes, and Lakehouse architectures to deliver reliable data for analytics and reporting.
Data Engineer
Build and improve a data foundation for a large retail client, implementing data products, pipelines, and governance to enable a data mesh architecture using GCP, SQL, Python, and dbt.
Data Engineer
Builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, DBT, and SQL, transforming raw data into insights for customers and internal products.
Data Engineer
Build and maintain cloud-based data pipelines and transformations using SQL, Python, and tools like Snowflake or Databricks to power analytics and automation for clients in mobility, energy, and finance.
Data Engineer
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
AI-Ready Data Engineer: Build Scalable Data Pipelines
Build and maintain scalable data pipelines and infrastructure to power AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
DevOps Engineer
Build and maintain the cloud platform for an edtech company using AWS, Terraform, and CI/CD pipelines to ensure secure, scalable, and reliable learning infrastructure.
Full-Stack Data Engineer
Builds and maintains data pipelines, warehouses, and AI-ready infrastructure for marketing analytics and automation, using Python, SQL, cloud platforms, and CI/CD.
Manager, Data Engineering
Lead a team to design and maintain Vancity’s enterprise data platform, building scalable pipelines and ensuring high-quality data for business insights using Azure, Databricks, and Spark.
Data Engineer
Design and maintain scalable data pipelines (Spark, Kafka) and build AI-ready architectures to enable GenAI value creation using Python/Scala on AWS/Azure/GCP.
Software Developer, Full Stack (Client Experience)
Builds and maintains a React (TypeScript) admin portal for client reporting, working across the full stack with Python backends and data pipelines (Snowflake, Airflow, dbt) to deliver health-care analytics to employers.
Software Engineer, Data Infrastructure
Build and maintain petabyte-scale storage infrastructure for AI training workloads, using Python, Kubernetes, and distributed data tools like Spark.
Senior Data Analyst
Senior Data Analyst builds and maintains BigQuery pipelines, runs A/B tests and forecasting, and delivers dashboards to drive growth at a Vietnamese travel-tech company.
Data engineer - up to 22 triệu
Build and maintain ETL/ELT pipelines, integrate sales and ad-platform data, and ensure clean, traceable data for reporting and accounting systems using SQL, Python, and APIs.