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Senior GCP Data Engineer - ETL, BigQuery & Airflow
Design and build scalable data pipelines and analytics solutions on GCP using BigQuery, Airflow, Spark, and related cloud services.
Data Engineer - Cloud & On-Prem Platforms (Hybrid)
Designs and builds scalable data pipelines and platforms in cloud and on-premise using SQL, Python, DBT, Airflow, Trino, and BigQuery for analytics and reporting.
Senior Data Engineer – ETL/ELT, Data Lake, BigQuery
Builds and maintains ETL/ELT pipelines for a data lake and warehouse using Oracle, PostgreSQL, BigQuery, and Informatica PowerCenter.
Hybrid Data Engineer: GCP, Airflow & BigQuery
Builds and maintains Dentsu’s data platform on GCP, writing Python pipelines in Airflow and working with BigQuery to integrate diverse data sources.
Senior Cloud Data Engineer: Build Scalable Data Platforms
Design and build scalable cloud data platforms using BigQuery, GCP, DBT, Airflow and Trino to power data-driven decisions.
Data Engineer GCP/Python/SQL remote
Designs and builds scalable data pipelines, warehouses, and ETL processes using GCP, BigQuery, Python, SQL, dbt, and Airflow for global clients.
Data Engineering Consultant - QuantumBlack, AI by McKinsey
Build scalable data pipelines and infrastructure for AI systems using Python, SQL, Spark, and cloud platforms to power LLMs, retrieval systems, and agentic architectures.
Data Engineer z GCP (f/m/x)
Build and maintain scalable GCP-based data pipelines, optimize BigQuery warehouses, and orchestrate workflows with Airflow/Terraform for analytics teams.
Data Engineer: Cloud Data Platform (GCP/BigQuery) – Remote
Builds and maintains a cloud data platform (GCP/BigQuery) using dbt and Airflow to power metrics for a large financial institution.
Cloud Data Engineer (m/f/d)
Build and operate cloud data pipelines and KPIs using Python, Google Cloud, and Terraform in a fintech loyalty platform.
Senior Google Cloud Data Engineer
Senior Data Engineer builds scalable Google Cloud data platforms using BigQuery, SQL, Python, and modern data architectures to enable data-driven decisions for global clients.
Data Engineer - Automation & Innovation Department
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Data Engineer III @ Box Inc.
Build and maintain scalable data pipelines on GCP to power analytics and AI features for Box’s content-management platform, using BigQuery, Spark, and Python.
Senior Data Engineer: Cloud Data Platform & ETL
Designs and builds scalable cloud data platforms, ETL pipelines, and data warehouses using BigQuery, DBT, Airflow, and Trino on GCP to support analytics and data-driven decisions.
Expert Data Engineer with GCP
Build and maintain scalable data pipelines and ETL/ELT processes using Python, Apache Airflow, Spark, and GCP services like BigQuery and Cloud SQL for HSBC’s data platform.
Junior Data Engineer (Data & AI Factory)
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Senior Data Engineer (Team Lead)
Lead a remote team building scalable data pipelines with Kafka, Spark, and Hadoop, mentoring engineers and optimizing cloud data platforms like BigQuery.
Cloud Data Engineer: Build Scalable GCP Pipelines & BigQuery
Designs and maintains scalable GCP data pipelines, builds BigQuery warehouses, and optimizes costs using Airflow, Terraform, and CI/CD.
Senior Google Cloud Data Engineer
Senior Data Engineer builds scalable Google Cloud data platforms (BigQuery, pipelines) to enable clients’ data-driven decisions, using SQL/Python and modern warehousing concepts.
Big Data Engineer IV @ OpenX
Design and build large-scale data pipelines and systems to process billions of ad requests daily, using Java/Scala/Python, Spark, and BigQuery on GCP/AWS.