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Build and maintain scalable data pipelines and architectures for enterprise clients, using Python, Spark, Airflow, and cloud storage to enable data-driven decision-making.
Build and scale Vibe’s petabyte-scale data backbone, owning storage, batch/stream compute, and real-time OLAP reporting to power streaming TV ad campaigns.
Build and maintain petabyte-scale data infrastructure using Spark, ClickHouse, and lakehouse tools, and own incident response and cost optimization for real-time reporting.
Build and maintain data pipelines, storage systems, and CI/CD workflows for a large banking group, using Python, SQL, Spark, Kafka, and cloud storage.
Build and run Kubernetes-based lakehouse platforms for a large bank’s data stack, automating deployments with GitOps and optimizing Spark/Trino workloads.
Maintain and evolve a large-scale data platform using DevOps practices, CI/CD pipelines, Kubernetes, and cloud tools like AWS/Azure.
Senior engineer builds and runs a cloud-based big-data platform on AWS, using Cloudera services, Kafka, Flink, NiFi, and Terraform to keep pipelines fast and reliable.
Build and scale data pipelines for TV and advertising analytics using Spark, Scala, and AWS; own resilient, cloud-native platforms handling terabytes daily.
Build and maintain AI/ML infrastructure for mobile games, deploying models that serve millions of players and optimizing internal tools using Kubernetes, Terraform, and cloud platforms.
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Builds and maintains scalable data pipelines on Trino/Iceberg for Wise’s Lakehouse platform, transforming raw financial data into high-quality, auditable reports while mentoring engineers and collaborating with finance teams.
Builds and optimizes scalable data pipelines on a Trino + Iceberg Lakehouse to power financial reporting and analytics for millions of daily events.
Lead the development of a global enterprise platform using Java, Spring Boot, and AWS, designing APIs, databases, and event-driven services for Universal Music Group’s internal teams.
Build and own large-scale distributed data pipelines using Airflow/Dagster, Spark, dbt, Kafka, and AWS to power global retail analytics and decision-making.
Lead the architecture and evolution of FloQast’s data platform, building scalable lakehouse pipelines with Apache Spark, Iceberg, Kafka, and AWS services to power analytics and product systems for 30,000+ tenants.
Lead a team of data engineers to build and maintain scalable data pipelines and infrastructure for RBC’s asset management unit, enabling analytics, ML, and AI solutions.
Builds and maintains data pipelines, dashboards, and analyses to guide Netflix’s content strategy and measure title performance across verticals.
Job Description What is the opportunity? Reporting to the Director, Credit Risk Infrastructure, the Manager, Analytics Engineer will develop analytical and data infrastructures to support RBC’s stress testing (CCAR,…
Lead Pattern’s data platform and architecture team, scaling distributed systems to process petabyte-scale datasets and hundreds of billions of events while driving a self-service, open-source environment to boost developer velocity.
Data Analyst builds and tests ad-platform growth hypotheses, runs A/B tests, and delivers BI dashboards using ClickHouse, Redash/Superset, Spark, and Trino.
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