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Java Software Engineer
Builds and maintains a credit decisioning engine using Java 17, Spring Boot, and GCP microservices, plus CI/CD pipelines and REST APIs.
Google Cloud Platform Data Engineer
Principal GCP Data Engineer designs and builds scalable data pipelines using BigQuery, Dataflow, and Dataproc, leading teams to deliver robust, cloud-native solutions for clients.
Data Engineer II (Data Platform)
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, ML, and GenAI across the travel giant’s global brands.
Data and AI - Data Architect or Engineer
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Google Cloud Platform Data Engineer
Build and maintain scalable Google Cloud data pipelines using BigQuery, Dataflow, and Pub/Sub, ensuring high-quality, reliable data for analytics and business users.
Data Engineer II (Data Platform)
Build and maintain Tripadvisor’s petabyte-scale data pipelines and platforms using Java, Python, Spark, Flink, and Snowflake to power analytics, experimentation, and GenAI across the travel giant’s global brands.
Principal Data Engineer
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.
Lead Software Engineer - Data & AI
Lead a team building scalable data platforms and AI systems, including RAG pipelines and GenAI integrations, to power fintech products at JPMorgan Chase.
Analytics / Data Engineer
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.
Senior Android Engineer - Event Data Tooling
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.
Staff Data Engineer
Build and scale data pipelines in Python to process millions of user requests daily, optimizing retention for a top consumer brand.
Consultant - Manager, Data Engineer, AI & Data, Defence & Security
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.
Data Engineer - Data Infrastructure
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 Data Engineer
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.
Senior Android Engineer: High-Throughput Analytics Tooling
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: Architect Data Pipelines
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.
Senior Data Engineering Manager
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.
Staff Data Engineer
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.
Data Engineer - Data & Analytics Platforms
Design and build scalable data pipelines and platforms in Python/SQL on cloud services (AWS/Azure/GCP) to power analytics and AI use cases for enterprise clients.
Senior GCP Data Engineer - Lead Cloud Data Architect
Design and build scalable cloud data platforms on GCP, leading technical delivery and stakeholder engagement using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.