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Builds and maintains scalable data pipelines and APIs for financial-advice platforms using Python, SQL, and cloud data tools to power revenue and planning applications.
Design and build scalable data pipelines and distributed processing solutions using Spark (Scala/PySpark) on AWS to power analytics, ML, and reporting for a large banking group.
Deploys and operates open-source data platforms in secure DoD environments, integrating legacy systems and ensuring compliance with government security standards.
Leads database migration projects and designs deployment strategies for relational, key-value, and document databases while using AI-driven automation and Terraform to strengthen the data platform.
Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate,…
Senior Data Engineer building and optimizing a custom lakehouse platform (Apache Iceberg, Trino, Spark) with AI-driven tooling for a global gift marketplace.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse schemas for a global SaaS workforce-management platform, ensuring reliable, secure, and high-performance data infrastructure for multi-tenant clients.
Lead the technical direction of Deriv’s data engineering team, defining standards and architectures for reliable, governed pipelines that power trading, compliance, and AI systems using GCP, BigQuery, Airflow, dbt, and Kafka.
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Build data pipelines and ETL workflows using Python, Java, and Bash. • Utilize Apache Spark for large-scale…
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we…
Designs and builds data pipelines on Databricks and AWS to power enterprise reporting and AI initiatives, using SQL, Python, and Spark.
Engineer and maintain OCBC’s hybrid cloud data and AI platforms, including Cloudera CDP/CML, Hadoop, Spark, and AWS services like SageMaker and EKS, ensuring reliability and security.
Builds and maintains Goldman Sachs' modern Lakehouse and AI data platform, designing scalable pipelines, curated datasets, and platform tooling to support analytics, AI, and operational decision-making.
Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity,…
DualBird is building a next-generation data acceleration platform that brings hardware-level performance to cloud infrastructure with software-level simplicity. We’re looking for an Infrastructure & Automation…
About Us As a Sr. Staff Data Platform Engineer , you will be the primary architect and visionary for the core data infrastructure that powers the entire enterprise. This is a "platform-as-a-product" role; your…
Lead a team to design, build, and deploy AI/ML solutions including GenAI, RAG, and agentic systems in Python/Java, while driving adoption of AI-assisted engineering practices and MLOps best practices for scalable, secure systems.
Designs and optimizes a cloud-based search data lake that processes billions of security events daily using distributed query engines and cloud services.
Senior Data Engineer builds and maintains a Kubernetes-native analytics platform (Mobius) to power batch data pipelines at scale for a global food-delivery company, using Python/Java/Scala, Spark, Airflow, and AWS services.
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