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Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends (Iceberg, ClickHouse, MySQL/PostgreSQL) to feed trading desks, quants, and analytics.
Build and optimize scalable data pipelines and storage for a telematics platform handling petabytes of vehicle data, using Java, Kafka, Spark, and cloud tools.
Backend intern integrating telematics data sources and optimizing distributed ingestion systems in TypeScript/Node.js for a fleet-insurance data platform.
Develops end-to-end data pipelines for a natural language search platform, managing multimodal data ingestion, vector/text search preparation, and high-load architecture using Python, SQL, Airflow, Spark, Kubernetes, and S3.
Build and maintain a scalable open-architecture data platform for financial data, using Python, Java, Spark, Iceberg, and cloud services to enable secure ingestion, governance, and analytics.
Build and maintain scalable data pipelines and analytical datasets for financial reference data using Snowflake, Databricks, Spark, and Iceberg, ensuring trusted, production-grade data products.
Role Summary Design, build, and run core services and reusable components for the open-architecture data platform, enabling scalable ingestion, metadata-driven processing, governance, and reliable multi-engine data…
Lead the design and delivery of a secure, scalable KYC and Risk Assessment data platform using Python/Java, Databricks, and AI/ML systems for JPMorganChase.
Lead a team building and scaling a secure, AI-driven KYC and risk platform using Python/Java, Databricks, Spark, and cloud-native tools to process large-scale financial data.
Design and scale cloud-based data pipelines on Databricks and Snowflake, building medallion-architecture datasets for analytics and AI/ML that power Illumina’s genomics and healthcare products.
Lead the design and delivery of secure, scalable data platforms for corporate KYC and risk assessment, including agentic AI systems and LLM-based applications in a regulated financial environment.
About Data Reply Data Reply, as part of the Reply Group, offers a wide range of services to help customers to become data driven. The team is active in various industries and business areas and works closely with…
About Data Reply As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our…
Senior engineer building secure, scalable KYC and risk systems for a global bank’s corporate data platform.
Builds and maintains data pipelines between Snowflake and GCP, focusing on PII masking, orchestration, and schema optimization with Apache Iceberg while ensuring robust monitoring and security.
Builds and operates full-stack, high-throughput distributed systems for Apple’s exabyte-scale Big Data infrastructure, supporting global manufacturing operations. Works with React/TypeScript frontends, Java/Golang backends, Kafka, Druid, and Kubernetes in a large-scale cloud environment.
Builds and optimizes big-data pipelines and lakehouse systems using Java/Scala, Spark, Iceberg, Kafka, and Kubernetes for distributed ETL and analytics.
Lead a team of data engineers to build and optimize scalable data pipelines for game analytics using Python, SQL, Airflow, Spark, and ClickHouse.
Design and build a scalable enterprise data lakehouse on Databricks and Azure to power analytics, reporting, and AI/ML across Opella’s global OTC and VMS brands.
Build and scale Matterworks' data platform pipelines, turning raw biochemical signals into validated datasets for ML research and product use.
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