Zap Energy is searching for an experienced Data Acquisition and Instrumentation Engineer to join its R&D team. Bachelor's degree or higher in a germane technical discipline such as computer science, computer engineering, electrical engineering, or similar . Experience administering data...
The Incident Prevention team is looking for experienced software engineers who are excited about building large scale systems spanning tens of thousands of servers, across multiple data-centers worldwide. We support all AWS data centers and all of the servers, storage, networking, power, and cooling...
With Amazon Kinesis Data Streams, customers process gigabytes per second of real-time user engagement data for gaming and marketing analytics, build real-time IoT sensor data analytics solutions, analyze millions of financial transactions in real time, perform network intrusion detection for securit...
Software Development Engineers work hand-in-hand with System and Network Development Engineers, Network Operations and peer software teams to ensure designs are scalable, reduce operational burden, integrate with the existing tooling and maintain our customer focus. Amazon is seeking a Software Deve...
The Incident Prevention team is looking for experienced software engineers who are excited about building large scale systems spanning tens of thousands of servers, across multiple data-centers worldwide. We support all AWS data centers and all of the servers, storage, networking, power, and cooling...
This role serves as subject matter expert in leading the development and maintenance of data reporting applications and custom toolsets supporting data reporting, data management, data engineering, business intelligence, data science, and machine learning efforts, and building methodological foundat...
This role within the 'Data Engineering & Self-Service Products' team involves architecting and engineering analytic data solutions, including designing and developing data marts in Databricks using PySpark or Spark SQL, building interactive Power BI dashboards to visualize KPIs and trends, and creat...
Adhere to Data Engineering best practices, including data security and privacy protocols. Responsible for transforming and optimizing raw data sets into modeled datasets tailored to business needs. Collaborate with BI Analysts and Data Scientists to ensure data availability for analysis and reportin...
The Incident Prevention team is looking for experienced software engineers who are excited about building large scale systems spanning tens of thousands of servers, across multiple data-centers worldwide. We support all AWS data centers and all of the servers, storage, networking, power, and cooling...
Avoir un rôle de mentor pour faire monter en compétence 2 Data Engineers juniors. Au minimum 5 ans d'expérience dans le Data Engineering (hors stage et alternance). Expérience de Lead par le passé ou au minimum de Data Engineer Senior. Un des challenges sera d'augmenter la volumétrie data *5. ...
With Amazon Kinesis Data Streams, customers process gigabytes per second of real-time user engagement data for gaming and marketing analytics, build real-time IoT sensor data analytics solutions, analyze millions of financial transactions in real time, perform network intrusion detection for securit...
We're looking for a highly skilled experienced engineers to design and build high-scale, cloud-based data processing systems that can handle massive amounts of data with low latency. As part of this team, you will accelerate several architectural efforts - achieve orders of magnitude data processing...
Performs modeling of data sources and flows, works with data management staff to define an operational framework that will define, develop and implement policies and security frameworks to ensure precise and secure delivery of knowledge and information. Perform modeling of data sources and flows, wo...
Solve business and data engineering problems using data centric programming and scripting skills to create data models and pipelines. Bachelor’s Degree in Computer Science, Computer Engineering, or similar area, and 5-10 years of experience in data integration, design, and management. Data Science a...
Provide leadership and mentorship to other data engineers, promoting the adoption of standards, patterns, and DataOps practices for federating data pipeline work across the enterprise. We are currently seeking a Senior Data Engineer to join our team and play a pivotal role in leveraging the Palantir...
The Data Engineer will collaborate with data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency. Design and manage data sto...
Splunk is looking for an enthusiastic and innovative Principal Software Engineer to join our Observability Data Platform organization. The Data Platform is a large-scale, highly performant, available and reliable system that processes billions of data points per minute. Experience with 1 or more rel...
Extensive experience in Google Cloud stack – Google Cloud Storage, Google BigQuery, Google Data Flow, Google DataProc, Google Data Studio etc. Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design . Experience with ...
Qualifications Required Bachelor's degree or higher in a germane technical discipline such as computer science, computer engineering, electrical engineering, or similar At least 5 years' professional experience in a collaborative scientific or industrial R&D environment&...
You will support and contribute to the architecting, implementing, and execution of configuration and data management processes for system engineering and system safety products using. Power user of IBM Rational DOORS Next Generation, or other engineering data management tools such as Jazz CLM appli...
In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Align with security, da...