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Google Cloud Data Engineer
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to integrate, process, and analyze data for business analytics and decision-making.
Senior Data Engineer - ETL & Data Dashboards
Design and maintain ETL pipelines and data dashboards, integrating and transforming data with SQL, Python, and BigQuery for KPI tracking and reporting.
Google Cloud Data Engineer
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to support HR analytics and business decision-making.
Data Engineer (GCP) – Data & Analytics
Build and maintain GCP-based data pipelines (ETL/ELT) using BigQuery, Dataflow, and SQL to feed analytics and warehouses for business insights.
Senior Data Engineer
Senior Data Engineer at DiDi Global to own end-to-end data issues, optimize pipelines, and ensure reliability of large-scale mobility data systems using SQL, Python, and cloud warehouses.
Senior Data Engineer
Senior Data Analyst at DiDi troubleshoots large-scale data systems, optimizes pipelines, and performs root-cause analysis across BI, ETL, and infrastructure to ensure reliability and performance.
Senior Data Engineer
Senior Data Engineer at DiDi Chuxing troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
Data Engineer - QuantumBlack
Build and maintain scalable data pipelines and infrastructure to power AI applications using LLMs, retrieval systems, and agentic architectures for enterprise clients.
GCP Data Engineer
Build and maintain GCP-based data pipelines using Python, PySpark, Airflow, and BigQuery to process streaming and batch data for enterprise clients.
Data Engineer
Designs, builds, and optimizes ETL/ELT pipelines and data warehousing solutions to support HR and payroll analytics using SQL, Python, and cloud platforms like AWS Redshift or Snowflake.
GCP Data Engineer — Scalable Pipelines & Analytics
Designs and maintains GCP data pipelines, optimizes BigQuery, and builds ETL/ELT workflows to support business analytics and decision-making.
Data Engineer Mid - GCP Data Migration & Pipelines
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP for enterprise clients, using cloud warehouses, Spark, Kafka, and orchestration tools.
Data engineer
Designs, builds, and optimizes large-scale data pipelines and distributed systems using Python, PySpark, SQL, and cloud tools (GCP/Azure) to process high-volume datasets for clients.
Data Engineer
Builds scalable data pipelines and modern analytics platforms using GCP tools like BigQuery, Dataflow, and Pub/Sub to turn raw data into actionable business insights.
Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to power HR analytics and reporting for a cloud-based payroll and HCM platform.
Data Engineer
Build and optimize ETL pipelines, data warehouses, and dashboards to power HR analytics and reporting using Python, SQL, BigQuery, and Google Looker.
Senior Data Engineer — BigQuery, Python & Data Pipelines
Designs and optimizes ETL/ELT pipelines in BigQuery using Python and SQL, migrating and integrating datasets for reliable data solutions.
(Senior) Product Data Analyst
Build production-grade data models in BigQuery and dbt to power product decisions for an AI-driven adtech platform, partnering with engineering and product teams.
Data Engineer (m/f/d)
Build and maintain scalable data pipelines on Google Cloud to power analytics and AI initiatives for DISH’s HoReCa-focused products.