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Owning quality for a high-scale, low-latency streaming Customer Data Platform deployed on infrastructure we run ourselves (on-prem, Kubernetes), not managed cloud services. The platform ingests from thirty or more…
Building high-scale, low-latency streaming data pipelines deployed on infrastructure we run ourselves (on-prem), not managed cloud services. You will design and operate high-volume real-time data systems end to end,…
Building high-scale batch and near-real-time data pipelines deployed on infrastructure we run ourselves (on-prem), not managed cloud services. You will design and operate high-volume analytical data systems end to end,…
Design and maintain data systems to ingest and transform military sensor data into actionable insights for air defense systems, using cloud and specialized tools.
Build and maintain a scalable data platform for analytics and AI-driven defense systems, using cloud infrastructure, Kubernetes, and modern data tools to support mission-critical operations.
Builds cloud data pipelines and storage systems to ingest, normalize, and deliver real-time robotics telemetry from defense vehicles to analysis tools using Python, Rust, and distributed systems like Spark and Kafka.
Builds and operates cloud data pipelines that ingest, normalize, and stream robotics telemetry from defense vehicles to enable real-time analysis, fleet-wide insights, and AI-driven command systems.
Software engineer (full- or part-time) developing the Data Integration Hub (DIH), the central data-mesh platform of Atruvia and the cooperative financial group. Day to day: building backend services, integrating third-party applications, and ensuring data quality with Java/Spring Boot, SQL, Kubernetes, Kafka, and cloud data technologies.
Lead Pine Labs' data engineering function in Noida (office-based, 5 days/week): build and scale real-time pipelines with Kafka/MSK, Debezium and Apache Pinot, run data lakes on S3 with Iceberg, Glue and Athena, and ship Java/Python data tooling on AWS (ECS/EKS, Terraform) while mentoring engineers.
Data Engineer II (SDE-2) at Fam (formerly FamPay), India's payments app for teens, building a scalable data lakehouse targeting sub-minute latency. Day-to-day involves complex CDC pipelines, PySpark/SQL development, AWS infrastructure, Airflow/Temporal orchestration, and AI-assisted engineering.
Job Responsibilities Collaborate with stakeholders (risk leads, risk data owner, technology teams) to translate business needs into data requirements and analytical solutions. Analyse and interpret new data sources to…
Come build the future of data with us! Amazon Web Services (AWS) is seeking a senior, experienced, and motivated Data Specialist Solutions Architect (SSA) to help our Strategic Accounts customers architect the next…
The Opportunity: Are You Ready to Build the Future of Risk Analytics? Want to solve one of the most challenging big data problems in finance today? Are you excited by the idea of working directly with front-office and…
Conheça o Inter Pioneiros, mudamos o mercado ao lançar o primeiro banco digital do Brasil e seguimos criando tendências com tecnologia de ponta. Evoluímos para um Super App Financeiro Global, com soluções completas e…
Entry-level Data Analyst on Inter's Advanced Analytics team in Belo Horizonte, building dashboards and BI analyses in Tableau Cloud, querying data with SQL, and translating business needs into indicators for a Brazilian digital bank's Global Financial Super App.
Senior N2 analyst on Inter's Investment Solutions operations team in Belo Horizonte, resolving complex investor cases across equities, fixed income, funds, custody and regulatory topics, monitoring operational SLAs/indicators, and driving root-cause analysis and automations using Salesforce, Excel, Tableau, Trino and AI tools.
Staff engineer on Rippling's Data Cloud team building large-scale data ingestion pipelines and analytics infrastructure (Python, Kafka, Iceberg, Temporal) for a multi-tenant platform syncing billions of rows daily across tens of thousands of customers, replacing customers' need for separate data lakes, warehouses, and pipelines.
Build and optimize Amplitude’s Nova OLAP engine, a distributed system processing trillions of events to power AI-driven product analytics and autonomous experimentation for thousands of customers.
A hands-on senior Python engineer building secure AI-agent data foundations for Intellias's global investment-management client in London: production Python services, data pipelines, catalogue/semantic/entitlement layers, and agent-facing retrieval (RAG, vector search, MCP APIs). Core stack: Python, SQL, columnar formats, query engines (DuckDB/Trino/Spark/ClickHouse), and LLM/agent tooling.
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