Interim Data Engineer (senior) #KRTZ9378428

Opdracht informatie (Deze opdracht is verlopen)

Gepubliceerd op 26 augustus 2020
Reageren tot 29 augustus 2020
Bekeken
Reacties Zichtbaar voor PRO
Locatie Eindhoven
Start datum Zo snel mogelijk
Aantal uur 32 uur, 36 uur, 40 uur
Soort contract Payroll contract
Opleidingsniveau HBO, WO
Branche ICT, Industrie, Techniek | Engineering
Verlenging Ja

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Opdracht omschrijving

Our client is looking for an experienced Data Engineer to join our Analytics & Visualization team. We are interested in engineers with strong knowledge and experience in building Data Intensive Applications (DIA’s) in an industrial/enterprise environment. You are expected to handle data from various data sources and determine how best to structure the data in order to provide data in a ready-to-use form to data analysts that are looking to run queries and algorithms against the information for predictive & prescriptive analytics through machine learning. You will design and implement robust scalable data pipelines on the ecosystems existing and at our customers. You are expected to write high quality, maintainable, and robust code, and provide solutions for ensuring long-term quality and integrity of the data.

The vacancy aims at supporting the development of novel data analytics, visualizations and control solutions by cutting edge techniques from Machine Learning and Data Mining. Successful methodologies aim to be included customer applications. Will you be our next talented data engineer to join the team responsible for creating applications that aids our customers to keep the machines in their Semiconductor Fabs optimally running during chip production. This could be your next ultimate job, so if you would like to join us – please apply!

Job Context

Our multinational teams are composed of five to seven developers, a Scrum Master and a Product Owner. We are committed to follow the Agile way of working, with sprints and demos every two weeks, aiming for frequent releases of working software. In all teams we cooperate with internal and external experts from different knowledge domains to discover and build the best solutions possible. We use Continuous Integration with GIT, Jira and Bamboo. We move fast to help our customers reach their goals, and we strive to create reliable and well-tested DIA’s, as a failure in our software stack can severely impact customers' operations.

Responsibilities

-Design and implement Data Intensive Application’s, realizing the product backlog defined by the Product Owner
-Ensure quality of own deliverables, this includes designing and implementing automated tests (a.o. on unit- and integration levels)
-Cooperate with other teams to ensure consistent implementation of the architecture, agree on interfaces and timing of cross-team deliveries
-Troubleshoot, analyze and solve integration issues, both from internal alpha and beta tests, as well as reported by our customers
-Write or update product documentation in accordance with company processes
-Suggest improvements to our technical solutions and way of working, and implement them in alignment with your team and their stakeholders

Education

-M.Sc. or Ph.D. in Data Science, Computer Science, Electrical Engineering, Mathematics or Physics

Experience

-Experience in having build DIA’s in an industrial/enterprise environment
-Experienced in software development (strong coding and testing skills)
-IT related knowledge is considered a pre
-Familiar languages include Python, Java, etc.
-Familiarity with relational and non-relational (documen, columnar, graph) database architectures Experience with frameworks from the big data ecosystem’s (Spark, Kafka, HBase, etc)
-Experience with orchestration & containerization is a plus (Kubernetes, Docker, Mesos DC/OS)
-Strong ability to communicate and negotiate designs of data pipelines with Data Architects and Data Scientists
Highly valued qualifications & experiences
-Experience working on practical applications using real-world datasets
-Hands-on with different data formats (CSV, XML, ARVO, TXT, JSON, etc.)
-Familiarity with statistical languages like R and/or Matlab
-Handle, analyze and visualize complex, high-volume, high-dimensional data from varying sources

Personal skills

-Enthusiastic and intrinsically motivated, creative thinker
-Good & proactive communication in an international and multidisciplinary environment
-Taking responsibility, self-propelling
-Goal-oriented and flexible mindset, willing to acquire lithography and other semiconductor manufacturing knowledge

Context of the position

You will be a member of the Analytics and Visualization group in Development & Engineering of the Business Line Applications (Wafer Fab Applications department) where you will interact with architects, software developers, data analysts and dashboard developers. Here you will also be part of a multidisciplinary product development team, interacting with other departments (e.g. functional teams and customer support). Travelling a few times per year to ASML local sites and to customers worldwide is part of the job.

Other information

Keywords: Data Science, Data Engineering, Visual Analytics, Data Mining, Hadoop, Spark, HBase, R, ETL, Process Control, Semiconductors, Lithography, Software engineering, Computer science, Agile, Scrum, Java, Product development

Alle bovenstaande eisen zijn harde criteria eisen. Je dient alle gevraagde functie eisen te bezitten, alleen dan kunnen wij je verder meenemen in de selectie.

MUST: Graag ontvangen wij van jou het volledige CV waaruit kennis/ervaring in bovenstaande blijkt, inclusief een motivatie. 

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Vakantie;
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