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Build and maintain data pipelines for Tookitaki’s FinCense compliance platform, integrating client data in on-premise and cloud environments using tools like Kafka, Spark, and AWS.
Location: Manila,Metro Manila,Philippines Role: Big Data Support Engineer Job Title: Big Data Support Engineer Location: PH Department: Support Reports to: Head of Support We are seeking a Technical Support Agent who…
Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky…
Lead the strategy and execution of Microsoft’s AI-powered Unified Index Platform, defining KPIs and scaling large-scale data pipelines for search, grounding, and training across trillions of documents.
Principal engineer leading the architecture and technical strategy of Truveta's clinical analytics platform — designing OLAP data serving, metric computation, and self-serve dashboards for health systems. Hands-on building with .NET (C#), Python, and Azure, plus mentoring and setting engineering standards.
An 11.5-week paid, on-site residency in Colorado Springs where early-career developers work real backlog items on Bluestaq's secure data platforms used by U.S. Space Force customers, mentored by senior engineers, with potential conversion to a full-time Associate Software Engineer role. Tech spans Java, Python, Angular, PostgreSQL, MongoDB, and AWS/GCP/Azure.
Intermediate software engineer at Trulioo (San Diego or Vancouver, hybrid) building production-grade agentic AI verification workflows — hardening Vertex AI-based agents, designing evaluations for non-deterministic agent behavior, and building AWS data pipelines that feed the agents. Core stack: Python, SQL/NoSQL, REST APIs, AWS, and big-data tools like PySpark/Airflow.
Installs, configures, tests, and supports complex intelligence systems at customer sites in Bucharest, acting as the first escalation level and the customer's trusted advisor. Day-to-day work spans Windows/Linux, Ansible, Kubernetes/Docker/Helm, Jenkins, Python/Bash, big data (Hadoop, Kafka), and virtualization.
## **Job Description** **You will be working on a flexible hybrid schedule as part of Fidelity’s dynamic working arrangement.** **The work location for this role is 483 Bay Street in Toronto until approximately late…
Data Architect at Fidelity Canada defines and evolves the company's data standards, models, and technical solutions—translating business requirements into data architecture covering warehousing, integration, master data, governance, and GenAI initiatives. Core tech includes Snowflake, AWS, Boomi, Oracle/PostgreSQL/SQL Server, Tableau/PowerBI, Ataccama, and Kafka, on a flexible hybrid schedule in T
Senior Cloud Architect at Fidelity Canada who defines enterprise cloud architecture standards and leads design of scalable, secure AWS platforms — including on-prem-to-cloud migrations, Kubernetes/platform engineering, and GenAI/LLM/MLOps integration — on a hybrid schedule in Toronto.
Builds and maintains data pipelines on the Databricks platform — ETL/ELT with Delta Lake, Auto Loader, DLT, and Unity Catalog — using Python/PySpark on a cloud platform, plus BI integrations, CI/CD deployment, and performance tuning. Minimum 1 year of experience required.
Senior full-stack engineer on Google's Payments team, taking end-to-end ownership of Anti-Financial Crime (AFC) sanctions screening systems — setting technical direction, authoring design docs, leading multi-quarter initiatives, and mentoring engineers across large-scale, full-stack distributed systems.
Senior Product Analytics Engineer who owns the end-to-end ads data foundation at Faire's wholesale marketplace — designing scalable data pipelines and models, partnering with Product, Engineering, and ML teams, and embedding AI into data workflows. Core stack: SQL, Python, and tools like Airflow, Docker, and DBT. Hybrid role based in San Francisco (3 days/week in office).
A data analyst at leboncoin (France's leading classifieds marketplace) analyzes large volumes of transactional data to detect payment-fraud patterns, builds fraud-monitoring datasets and KPI dashboards, and optimizes prevention rules, thresholds and scoring with SQL, Python, Big Data, cloud and BI tools.
We are seeking a highly motivated and experienced DevOps Engineer to support a fast-paced software development and infrastructure team. The ideal candidate will have strong working knowledge of Kubernetes and container…
Designs, deploys, and secures cloud and on-premise infrastructure using Kubernetes, AWS, and automation tools to support mission-critical government services.
DevOps Engineer supporting a U.S. Government customer onsite in Columbia, MD, building and automating AWS/EKS infrastructure, Kubernetes environments, and CI/CD pipelines.
DevOps Engineer implementing and managing AWS/EKS cloud infrastructure, Kubernetes containers, and CI/CD automation for a U.S. Government customer, using Python, Bash, and Linux in an onsite secure facility.
Senior engineer on Google Cloud's BigQuery Release Channel team, owning architecture and capacity management for automated, multi-tiered release rollout channels. Day to day: writing and reviewing code, leading design reviews, and solving large-scale distributed systems and capacity fragmentation challenges.
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