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Principal Data Engineer designs and builds modern, cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Flink for enterprises and government clients.
Build and maintain the data platform that powers reporting, AI workflows, and decision-making at a prop-trading discovery platform using BigQuery, dbt, Airbyte, and Airflow.
Build and maintain Android analytics libraries that emit high-quality event data for Reddit’s core metrics, ensuring reliability and scalability across millions of daily events.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Build and optimize multi-cloud data infrastructure for a digital bank, enabling analysts and ML teams with efficient pipelines and tooling across AWS and GCP.
Senior GCP Data Engineer builds and optimizes cloud-native data pipelines using BigQuery, Dataflow, PubSub, and Python/Spark, while collaborating with stakeholders to design secure, scalable solutions.
Build and maintain Android analytics libraries that emit over 500k events per second, ensuring high-quality data for Reddit’s core metrics and supporting product teams.
Principal GCP Data Engineer designs and leads end-to-end data pipelines using BigQuery, Dataflow, Dataproc, Spark and Beam, while setting standards and mentoring teams.
Lead a config-driven data platform that ingests, transforms, and delivers paid-media data from 26+ ad platforms into BigQuery using dbt, Python, and GCP.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Design and build scalable cloud data platforms on GCP, leading technical delivery and stakeholder engagement using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
Build and maintain scalable data pipelines and cloud infrastructure on Google Cloud, ensuring data quality and enabling analytics for clients.
Lead a team to build and maintain data pipelines on BigQuery/GCP, ensuring reliable datasets for analytics and AI-driven initiatives across customer, commercial, and operations domains.
Build and maintain scalable data pipelines and data products on GCP using Dataflow/Apache Beam, Spark, and BigQuery to power AI/ML user experiences.
Lead the architecture and long-term vision for Beamery’s data platform, defining scalable solutions for AI-driven workforce analytics and ensuring trustworthy, high-performance data infrastructure for internal and external consumers.
Lead data engineering, governance, and reporting for a global ecommerce group, shaping how THG structures, governs, and uses data across its Beauty and Nutrition divisions using GCP/BigQuery and AI-assisted pipelines.
Lead a team of six engineers to build and scale domain datasets (Customer, Commercial, Operations) on BigQuery/GCP, modernizing pipelines and enabling AI-driven analytics for THG’s global ecommerce brands.
Lead a team of six data engineers to design and build scalable domain datasets on BigQuery/GCP, unifying customer, commercial and operations data for analytics and AI-driven personalization.
Lead a team to design and build scalable BigQuery and GCP data pipelines that power analytics and AI-driven personalization across THG’s business units.
Senior Data Engineer builds and maintains cloud-based data pipelines using GCP/AWS, BigQuery, and Airflow to deliver analytics and insights for editorial, marketing, and product teams.
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