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lavori da Data Analysis in località United States

Data Warehouse/Business Intelligence Developer

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Data Warehouse/Business Intelligence Developer
VAT Vakuumventile AG
Batu Kawan
In loco
MYR 70.000 - 90.000
Tempo pieno
30+ giorni fa

Descrizione del lavoro

A leading vacuum technology company in Malaysia is seeking a Data Warehouse/Business Intelligence Developer to enhance the analytics environment and support data-driven decision-making. The ideal candidate will have over 3 years of experience, proficiency in SQL, DAX, and Power BI, and excellent communication skills. This role offers opportunities for career development and a collaborative work environment.

Servizi

Career and personal development opportunities
Equal employment opportunity

Competenze

  • 3+ years of experience as a data engineer or BI developer.
  • Strong analytical and problem-solving skills.
  • Full professional proficiency in spoken and written English.
  • Ability to work independently and manage multiple priorities.

Mansioni

  • Design, develop, and maintain the data warehouse and data lake.
  • Monitor and troubleshoot existing analytics and BI solutions.
  • Collaborate with technical and business teams for data-driven decision making.
  • Work in an agile manner with code reviews and QA.

Conoscenze

SQL
DAX
Power BI
Python
Data modeling

Formazione

Bachelor's degree in computer science, information systems or similar

Strumenti

Microsoft Fabric
Azure Synapse Analytics
Descrizione del lavoro

Select how often (in days) to receive an alert:

Data Warehouse/Business Intelligence Developer

Location:

Batu Kawan, MY

Employment Type: Permanent

BE GREAT TOGETHER WITH US.

Innovation, Efficiency and Ambition: this is what VAT has stood for over 50 years.

With this passion, VAT has grown to become the leading international developer, manufacturer and supplier of high-performance high-end vacuum valves and vacuum sealing technology, employing over 2000 people worldwide. The headquarters are located in Haag (Switzerland), the production centers in Switzerland, Malaysia, Romania and Taiwan.

As a Data Warehouse/BI Developer, you play a vital role in in supporting VAT’s goal of becoming a truly data-driven organization where every employee has access to the right data and insights at the right time in the right format to drive informed business decisions, optimize processes and create value for our customers. You are a part of a global IT team, collaborating across geographies and time zones – with key hubs in Malaysia, Switzerland and Romania – united by a shared passion for delivering value through digital data engineering, analytics and business intelligence (BI) solutions.

Yourresponsibilities include, but not limited to -

Design, develop and maintain the data warehouse and data lake analytics environment at VAT based on the Microsoft Fabric platform, ensuring performant and resilient infrastructure supporting VAT business worldwide.

Design, develop and maintain end-to-end data analytics and BI solutions based on business requirements of various areas of VAT business (procurement, manufacturing, SCM, finance, sales and others) using your expertise across SQL, DAX, Python, Power BI and other applicable technologies within the Microsoft Fabric environment.

Monitor, extend and troubleshoot existing data analytics and BI solutions.

Support key users and end users of analytics solutions (e.g. semantic models, Power BI reports) on finding the right solution to their technical questions or challenges.

Collaborate and communicate across technical and business teams to support data-driven decision making at VAT, esp. with other engineers and developers, IT business consultants and business and data analysts.

Work closely with the rest of our analytics and BI team in an agile manner (scrum methodology) incl. code reviews and QA.

Required Qualifications :

3+ years working as a data engineer, analytics engineer, data warehouse or business intelligence developer or consultant

Bachelor’s degree in computer science, information systems, economics, business analytics or similar OR corresponding professional experience

Proficient in SQL, DAX and Power BI incl. semantic modelling

Expertise in designing, implementing, and managing data pipelines and ETL processes

Proven track record in optimizing analytics workloads and platform performance, incl. optimizing complex SQL queries

Strong analytical and problem-solving skills with keen attention to detail

Experience in translating business requirements into actionable reports and dashboards

Excellent teamwork and communication skills to liaise with business as well as technical stakeholders

Experience working in a cross-functional and culturally diverse team

Full professional proficiency in spoken and written English

Ability to work independently, manage multiple priorities, and adapt in a dynamic environment.

Preferred Qualification :

Experience with Microsoft Fabric and/or Azure Synapse Analytics

Microsoft Certification: Fabric Analytics Engineer Associate (DP-600)

Experience in implementing good visual communication standards (e.g. IBCS)

Experience in conducting user trainings

Experience working in an agile environment, applying the scrum methodology

VAT is an equal opportunity employer. We see ourselves as a responsible and far-sighted employer that offers not only jobs, but also career and personal development opportunities through various training programs. We recognize the value of employee diversity and provide equal employment opportunity for all qualified application that contributes to innovation, improves customer orientation and employee satisfaction. One-step in this direction is to ensure that people are recognized and fairly compensated for their contributions to the company. In 2021, VAT received the Fair-ON-Pay+ certificate as an acknowledgement for our commitment in ensuring equal pay for equal work between men and women.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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