Data Engineer
6 months ago
**Mô tả công việc**:
(Mức lương: 45 - 80 triệu VNĐ)
What working at Zuhlke is all about.
We work onProjects for purpose,making it our mission to give our work a deeper meaning, ensuring we are focused on creating positivechange through technology and digital innovation.We areFlexible,offering avariety of working options to cater to our people’s needs. We pride ourselves on having aGrowth mindsetwith a strong learning culture and we invest in learning and development but also believe strongly in learning on the job and through mentorship and coaching.Sustainabilityisone of our top strategic goals. We are carbon neutral as a business, and we are strategically positioning our business offerings in decarbonisation, healthcare and green energy to help clients develop sustainable digital solutions.We care about the work we do.Diversity and inclusionare also high on the agenda. We are constantly looking to improve and develop, increasing diversity and developing a more inclusive workplace for all.
Your role includes.
- Being a trusted advisor,guidingour customers towards a successful technical solution to theirdatachallenges.
- Communicatingthe what, why and how of proposed solutions to technical and non-technical stakeholders.
- Understanding the big data world whilst developing,testing,and monitoringdistributed data processing pipelines.
- Extrapolatingversatile data sets and sourcesto produce high quality,reproducible datasetsin a scalable and maintainable way.
- Collaboratingwith different data roles such as Architects,Software Engineersand Data Scientists with ease.
- Understandingtheneeds ofmultiple types ofproducers andconsumersfor our data services,ensuringour products meet their requirements.
- Delivering projects in an Agile way, buildingiterativelyto produce value from data early and frequently.
- Keepingyourself technically sharp,being open to learningnewconcepts andtechnologies.
- Workingcollaboratively with colleagues and clients, be it onsite, in theZuhlkeoffice, or from home.
**Chức vụ**: Nhân viên/Chuyên viên
**Hình thức làm việc**: Toàn thời gian
**Quyền lợi được hưởng**:
A career at Zühlke is a constant journey of personal growth - from learning to knowledge exchange,helping others grow to driving innovation topics andshaping the development of the company.
- Committed to development: We dedicate 10% of our turnover to support employees’ growth and development on skills, to fit you and Zuhlke perfectly.
- Deliver meaningful work: Experience working in distributed teams within a global company with 16 offices working with regional and global clients on cross-border transformative projects.
- Good work-life balance: A family-friendly workplace with the possibility to work from home, and 18 days of annual leave to support your healthy work-life balance.
- Profit sharing scheme: We offer profit sharing as defined by the company’s success in the previous year in addition to your annual salary.
- Healthcare and medical benefits: Enjoy great work while having a peace of mind for what life might bring you with competitive medical benefits to support your health and well-being.
- Social and employee events: Experience the unique Zühlke culture of working, including annual team camps, local festive celebrations and social events with colleagues across the globe.
**Yêu cầu bằng cấp (tối thiểu)**: Đại Học
**Yêu cầu công việc**:
We would love to hear from you if you have ANY of the following:
We encourageour data engineers to be open to learn new technologyon a project-by-project basis. We are looking for Data Engineers who have asample of the following skills and experience:
- Experience ofdesigning,buildingand maintainingdataproductsthatmeet the needs of data consumers.
- An understanding ofcommon approaches todata analysis, machine learning and data visualisation so you canproduce the right datafor data consumers.
- Experiencewith a variety of approaches to dataarchitectures(e.g.Data Lake, Data Mesh,Data Warehouse,streaming, batch processing)
- Hands-on experience with databasesboth relationalandNoSQL.
- Familiaritywith big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.
- Practicalknowledge of handling varied types ofstructured and unstructureddata (text, tabular, graph,time-series, geospatial, image, etc.).
- Workingknowledgeofcontainerisation andpublic and private Cloud environments.
- Knowledgeable about information securityand data governance.
- Excellentand practicaldataprogramming skillswith experience indifferent programming languages likeJava or Python.
- You have experiencedelivering projectstodeadlines, with an emphasis on quality, ideally inclient facing contexts.
You would have the opportunityto work witha variety of technologies and tools, including:
- Programming Languages-Java, Python, SQL.
- Cloud environments-AWS/GCP/Azure
- Big Data Frameworks
- Hadoop,
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