Data Engineer

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Company Description

The Bosch Group is a leading global supplier of technology and services. In 2013, its roughly 281,000 associates generated sales of 46.4 billion Euros. Since the beginning of 2013, its operations have been divided into four business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Technology.
The Bosch Group comprises Robert Bosch GmbH and its roughly 360 subsidiaries and regional companies in some 50 countries. If its sales and service partners are included, then Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for further growth

RBVH - Robert Bosch Engineering and Business Solutions Vietnam Company Limited is 100% owned subsidiary of Robert Bosch GmbH.
RBVH has started its operations from 19th October, 2010 at e-Town2 in HCMC. This engineering development center will be engaged in developing embedded systems and software, mechanical design and simulation, and will provide IT (SAP Consulting, JAVA Development….) and Business Services (Finance and accounting, Economics, Purchasing, Logistics, Translations Japanese-English-Japanese, Information Security ) solutions to the Bosch group of companies globally.


Job Description

- Collaborate with product design and engineering to develop an understanding of needs
- Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
- Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
- Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
- Implement analytical models into production.
- Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Qualifications

- 5+ years of relevant work experience
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, etc.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Experience with cloud-based services (AWS or Microsoft Azure)
- Experience with Data visualization in creating reports and dashboards (Mircrosoft PowerBI or Kibana, Tableau, Splunk or similar tools )
- Expertise in SQL, SQL tuning, schema design (e.g. MS SQL Server and T-SQL development)
- Experience with NoSQL databases (MongoDB, Cassandra or similar)


Additional Information

- Committed 13-month bonus
- Collaboratively yearly performance bonus
- Meal & Parking allowances
- Premium insurance (PVI) for employee and 2 family members
- Overseas training programs and working onsite opportunity
- Good benefits of Trade Union activities, team building and company trip.
- Opportunity to work in global projects of fast developing company and being a part of innovation team contributing initiative ideas to the hi-tech world.
- Engage in our diverse training programs which surely help strengthen both your personal and professional skills

- Committed 13-month bonus

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