Senior Data Engineer

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Employer: Luxoft Romania
Domain:
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • nationwide
    Updated at: 26.05.2021
    Remote work: On-site
    Short company description

    About Luxoft
    Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 23 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications. DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.
    ​​​​​​​Luxoft Romania has been established since 2001. We currently have approximately 2500 employees working from different locations in the country.

    Requirements

    Mandatory Skills Description:

    • M.Sc. or Ph.D. in Data Science, Computer Science, Electrical Engineering, Mathematics or Physics
    • Experience in having build DIA's in an industrial/enterprise environment
    • Experienced in software development (strong coding and testing skills) especially in Java
    • IT related knowledge is considered a must
    • Familiar languages include Java, Python etc.
    • Familiarity with relational and non-relational (documen, columnar, graph) database architectures Experience with frameworks from the big data ecosystems (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

    Nice-to-Have 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
    • 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

    Responsibilities

    Project Description:


    ASML is one of the world's leading manufacturers of semiconductor-chip-making equipment. A majority of the world's microchips receive their critical lithographic patterning in machines made by
    ASML. In addition ASML produces metrology tools and advanced applications to analyze and optimize the performance of the customer production process. At Business Line Applications, they develop
    Analytics & Control solutions that improve the accuracy of performance metrics (such as overlay, focus, critical dimension) as measured on the end product of a fab process (wafers with chip structures).

    We are looking for an experienced Data Engineer to join the 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 in ASML and at our customers. You are expected to write high quality, maintainable, and robust code in Java, 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 in ASML customer applications.


    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

    Other info

    Reasons to join us:

    • Attractive salary and benefits package
    • We invest into your professional training including business domain knowledge, and allow you to grow your professional career.
    • We encourage creative-thinking into an open-minded work environment. Frequently the relaxation rooms are the place where the most ambitious ideas are born.
    • We are not just professional teams, we are also friends that have fun working together
    If you are an active person and you feel motivated by the creation/development of the software solutions, then this is the place to be, you will not get bored.

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