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Build and maintain Proton’s on-premise data pipelines and platform, enabling reliable, scalable analytics and reporting for privacy-focused products used by millions globally.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build and maintain ML pipelines using Airflow, MLflow, and GCP; migrate on-premise systems to cloud-native environments and ensure scalable, reliable data workflows.
Senior Data Analytics Engineer builds and maintains cloud-based data pipelines and warehouses for a global mobility platform, focusing on financial data and regulatory compliance.
Build and maintain distributed data pipelines for regulatory reporting using Hadoop, Spark, SQL, and Kafka, while ensuring data quality and system stability.
Build and maintain distributed data pipelines using Hadoop, Spark, SQL, and Kafka to support regulatory reporting and event-driven architectures.
Builds and maintains distributed data pipelines for regulatory reporting using Hadoop, Spark, SQL, and Kafka.
Builds GitHub Copilot Custom Agents and the data/context systems (MCP servers, RAG pipelines, SQL/graph DBs) that let Copilot understand codebases, SDLC rules, and compliance requirements inside VS Code.
Designs and builds scalable data pipelines, warehouses, and ETL processes using GCP, BigQuery, Python, SQL, dbt, and Airflow for global clients.
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
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.
Build and maintain scalable data pipelines and modern data platforms (Snowflake, cloud) to support analytics and AI use cases for international clients.
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Builds and improves UI for Cloud Composer and Dataform, a managed data orchestration and analytics workflow service, using JavaScript/TypeScript and collaborating with backend teams.
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
Build and maintain large-scale data pipelines and analytics platforms for ad-tech, transforming media consumption data into insights using SQL, Python, Airflow, and cloud services.
Build and maintain high-volume data pipelines and analytics solutions for adtech, transforming audience/media data into actionable insights using Python, PySpark, Airflow, and Kubernetes on AWS/Databricks.
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
Senior DevOps/MLOps Engineer builds and scales production-grade ML pipelines for large-scale medical image analysis, using Python, Docker, Kubernetes, and MLOps tools like MLflow.
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