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Halliburton to Provide Petroleum Data Management Platform for Norwegian Petroleum Directorate

2021-04-12 15:13:29| OGI

Landmarks iEnergy Hybrid Cloud will support digital transformation for efficient and secure access to national data.

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Data System Engineer DSE Earth Observation mwd

2021-04-09 18:14:51| Space-careers.com Jobs RSS

We are the first choice European aerospace company for software centric engineering solutions. We combine 40 years of experience in a market, where trust and quality are needed. With more than 350 employees in Germany, we craft the future of aerospace and beyond together. Our staff plays a key role for our success through their qualifications, motivation, passion, different cultural backgrounds and their sense of collaboration in an open international environment living our values trust, integrity, participation and curiosity. We are committed to crafting a diverse environment and are proud to be an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, colour, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. We offer a wealth of benefits to support a balanced work life balance and encouraging career development. This position is based at our customer ESOC, in Darmstadt, Germany. It is fulltime and permanent and expected starting date will be 1st of August 2021. We are looking forward to meeting you! ResponsibilitiesDuties We are supporting the European Space Agency ESA with highly qualified services at the European Operations Control Centre ESOC in Darmstadt. For a new service position within the area of Earth Observation Data Systems we are searching for a Data System Engineer DSE to complement our international service team! As part of the service you will assist and deputize ESAs technical personnel in the execution of the Flexible Planning, Commanding and communication processes for Earth Observation Missions Technology Development Element TDE study. Furthermore, you will be in charge of running the EGOSCC Adoption for EO missions project with the goals of Developing Core EO features in EGOSCC Conducting a demonstration campaign with SWARM mission Conducting demonstration campaign with Sentinel6 mission Performing a shadow operational campaign with SWARM mission In your role you will coordinate and collaborate with industrial partners and other teams within ESOC to ensure the success of the project. In close cooperation with ESA technical personnel you will supervise and drive the progress of the project, perform vital project management and software engineering tasks and be involved in related contractual and technical preparations. Detailed information on the missions and the activities of ESOC can be found on www.esa.int QualificationsExperience University degree in a relevant engineering field, computer engineering, physics or equivalent with high grades. Essential Skills The ideal candidate we are looking for contributes to our service team with the following characteristics Knowledge of modern spacecraft communication protocols such as PUS, DTN, CFDP and MO Knowledge of ESOC SDE, DevOps approach and operational environment Knowledge of applicable engineering and quality standards, such as CCSDS Ability to work independently, openness and reliability Capability to collaborate with several different areaspeople in ESOC Interpersonal skills to establish and maintain good working relationships with all partners within ESOC and industry Proficiency in English, both in speech and writing Desirable Skills Additional desirable skills are Proficiency with CJava, knowledge of UnixLinux, Python and scripting languages Experience in project management and related approaches Solid understanding of EGOSCC and EGSCC Understanding of the EGSCC CDM and EGOSCC tailoring Earth Observation Mission Control Systems Your Benefits of joining us By joining the Telespazio family, you will enjoy all the benefits of a competitive salary in a sustainable work environment, flexible working time models, diverse advancement and training possibilities for technical, language and soft skills, a generous holiday package as well as a company pension scheme. Furthermore, we support you with your relocation. Through our wide network, we can also support your partner in finding a job at your new work location. Application Are you equally inspired by our visions and dreams? Get in touch with us today and send us your application! Your HR Contact for this position is Raphael Rossato.

Tags: system data earth engineer

 
 

Data Processing System Development, Integration and Test Engineer

2021-04-09 17:13:52| Space-careers.com Jobs RSS

For our office in Darmstadt, Germany, we are looking for an experienced software system development, integration and test engineer, with specific experience of current containerisation and enterprise cloud orchestration technologies and knowledge of satellite Earth Observation data processing systems. As a member of our Ground Systems group in Darmstadt, you will be initially working on the development, integration and testing of data processing systems for our customer, EUMETSAT. This is an exciting and challenging opportunity to be involved in the development of highperformance data processing systems using latest technologies. Responsibilities As a System Development, Integration and Test Engineer, you will support Termas Ground System group in the development, test, deployment and support of systems with a focus on satellite Data Processing using cloudorchestration technologies. The position can involve any aspect of system and software development following formal development processes and standards, including Requirements analysis System architecture analysis and design Detailed design and implementation Integration and system testing Formal validation and acceptance Delivery to the customer and deployment Customer support Development work will be performed using modern methodologies, including CICD. The work includes the production of deliverable documents, including design documents, test plans and reports, and user manuals. This is a fulltime position to be normally located at Termas premises in Darmstadt with the planned start date on 1st July 2021. Qualifications Competencies In addition to having a university degree in a relevant engineering field, applicants should have at least 4 years of relevant professional working experience, and be able to cover many of the following topics Systems architecture covering areas such as containerisation, cloud computing, orchestration, hosted processing, EO data access formats Knowledge of opensource software related to containerorchestration Kubernetes significant professional experience Rancher container management platform Helm package manager for Kubernetes HTCondor highthroughput computing software framework Python programming PostgreSQL PrometheusGrafana for systems monitoring Technologies Parallel file systems e.g. IBM Spectrum Scale, GlusterFS Batch processing High Throughput Computing HTC Earth Observation data processing, ideally in the EUMETSAT environment Background in system and software development, integration, test and validation Demonstrated experience in writing of formal technical documentation in English. You will be able to conduct all activities in an orderly and disciplined manner, able to work calmly and accurately under stress and able to work without supervision. You will be able to fulfil the assigned tasks with a minimum of supervision, have a systematic approach to work, be able to plan your work and cope with tight schedules and multiple tasks. You must have the capability to write accurate and consistent technical documentation. Good communication skills verbal and written are important. What can Terma offer At Terma, we consider skilled employees, enthusiasm and job satisfaction as the very foundation of our success and as a prerequisite for the development of the bestinclass solutions that Terma provides. We lead the way in applying new technology, offering a wide range of growth opportunities for each individual and emphasizing mutual respect across the board in our workplace. Terma offers you a pleasant working environment at the customer site, where you will be able to take on challenging tasks and responsibilities in a highly professional company Great opportunities for training and personal development Challenges in advanced technical environment International and cosmopolitan working atmosphere An employment contract with an attractive package with extralegal benefits Highly competitive salary Recruitment is depending on successful selection by the customer. Additional information For further information, please contact Mrs. Raluca Moise by telephone 49 6151 860050 or by email recruitment.determa.com. To ensure that your application will reach us and is properly processed please apply through the link below with a Cover Letter and an uptodate Curriculum Vitae. Closing date April 27th, 2021 Please note that applicants must hold all appropriate documentation and permits to work in Europe. Terma The hightech and innovative Terma Group develops products and systems for defense, nondefense and security applications, including command and control systems, radar systems, selfprotection systems for aircraft and vessels, space technology, and aerostructures for the aircraft industry. Terma is headquartered at Aarhus, Denmark. Internationally, Terma has subsidiaries and operations in The Netherlands, Germany, France, United Kingdom, United Arab Emirates, India, Singapore and the U.S. The Space Business Area contributes with missioncustomized software and hardware products including power systems and star trackers as well as services to support a number of inorbit pioneering European scientific and Earth observation satellite missions. Additionally, Terma is contracted for the development and delivery of software and hardware systems and services for numerous ongoing and future European, and international missions. Terma Space operates out of Denmark, The Netherlands, Germany, France and the UK.

Tags: system data development test

 

PubMatic to integrate Samba TV data for CTV audience targeting

2021-04-09 13:00:35| Digital TV News

Samba TV's first-party Connected TV data will be integrated with PubMatic's (Nasdaq: PUBM) advertising platform to provide media buyers with omniscreen targeting in the United Kingdom, Germany, Italy, and France.

Tags: data audience integrate targeting

 

Overcoming the top four barriers to actionable data insights

2021-04-08 19:23:56| The Webmail Blog

Overcoming the top four barriers to actionable data insights nellmarie.colman Thu, 04/08/2021 - 12:23   According to IDC, the amount of data created over the next three years will be more than all the data created over the past 30 years. And the world will create three times more data over the next five years than it did in the previous five. As data volume and variety increase and data sources proliferate, new opportunities will arise opportunities to deliver superior customer experiences, drive better business decisions and enable greater agility and resiliency. New technologies and approaches such as the Internet of Things (IoT), cloud native development, AI and machine learning, and the modern data fabric offer a path to this intelligent business vision. Despite these opportunities and new approaches, businesses are struggling to manage data and generate meaningful analysis. Theyre weighed down by issues like dirty data and misaligned data collection and governance policies. These companies risk falling behind competitors, who are using data intelligence to adapt to their customers needs quickly and proactively. To gain actionable insights from your data, youll need to address some common barriers. Lets take a look at each of these, as well as what you can do to overcome them.   Barriers and solutions to running a smarter and faster business In a recent study of 1800+ IT leaders, we explored why businesses either fail to move their data analytics projects into production or experience quality and availability issues when they do. The study revealed several key barriers that are common to most businesses:   1. Data discovery challenges Data discovery is difficult when you have unknown data sources, poor data quality, data silos and compliance restrictions. These issues can trace their origin to data used or generated by a specific application stored in a siloed data platform, typically found in an early 2000s web application architecture or in 1990s UNIX applications. Additionally, incomplete views of customers and other business entities, duplicated data and a general lack of understanding around what data is available (for building new applications or updating existing ones) results in less-effective services, insights and customer experiences. Solution: With a holistic view and understanding of your data estate, plus a modern data architecture that makes your data accessible, you can make data discovery and utilization a more natural part of your DevOps processes and culture. DevOps drives speed and quick turnaround. And your data if its known and accessible and in a useful format can be fully incorporated into your DevOps culture, development and deployment processes.   2. Excessive costs When your infrastructure isnt structured for utility and elasticity, your talent is expensive, and youre facing large, ongoing investments with no guaranteed return, costs can grow out of control. Costs also become excessive as you continue to rely on on-premises data solutions for your worst-case scenarios as youre stuck servicing older virtualized applications and data infrastructure. And your on-premises data platforms servicing cloud-based applications may incur higher than needed ingress/egress fees. Solution: By moving data platforms to the right public and private clouds in a multicloud architecture, you get the benefits of multicloud including elasticity, self-service, optimized economics and cloud native services so you can develop modern applications and host a modern data architecture.   3. Complexity Choosing the right mix of technologies, identifying architectural best practices for deployment, and integrating cloud, on-premises and edge these are all complex responsibilities. Yet theyre made even more difficult if your data platform mix isnt optimized. For example, your data may have been forced into a traditional relational data management system, or worse, into unstructured files even though that is not the optimal place for data use and analysis. This makes developing applications using this data more difficult and less effective. IoT dramatically increases the data coming into your business. But it must be analyzed and intelligently separated into data flows that support the business such that your applications get the data they need when they need it. Many organizations either do not leverage the IoT or do so in a manner that overly restricts their data being used from the IoT. While these approaches result in preventing data flooding with its reliability, security and availability issues, they eliminate the benefits of using all of the appropriate data in their business ecosystem. Solution: Dealing with the explosion of data variety, velocity and volume is complex. But by putting this data into the right data platforms in the right clouds configured into a modern data architecture, your data can be more readily used, be more cost effective and set the foundation for modern analytics and superior business insights.   4. Skills gaps Most organizations dont have the skills necessary in-house to optimize their data architecture for modern AI/ML use cases and cloud native applications. To create a modern data fabric, you need specialized education, training and experience not organically available in typical IT teams. This skills gap also contributes to data integration architecture that is scattered and opportunistic preventing applications from getting the right data at the right time and leading to less-than-optimal experiences, results and insights. Solution: Work with a partner whose team has the right skills, career paths and continuous work experience where theyre always busy solving problems and building expertise across many different industries and use cases. This helps ensure that theyre able to attract and retain the best data people.   Achieving actionable data insights With a modern data architecture, your data can help drive better business processes, experiences and decisions. And with a fully integrated data environment supported by DataOps and MLOps, your business and IT teams can make intelligent business and IT decisions that will drive the most value to your customers and have the greatest impact on your businesss bottom line. Modern data architecture coupled with AI and machine learning enables your business to get the right data to the right application at the right business moment while delivering a new level of business insights and intelligent applications. To learn more about how organizations are managing and modernizing their data, check out our report, Data modernization: R

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