Long Description

Job Summary

We are seeking an experienced Sr. Service Engineer to join our team. In this role, you will be responsible for troubleshooting and resolving technical issues with customers, performing preventive maintenance, and creating up-to-date reports on technical issues. You will also be responsible for selling and renewing service contracts for customers, communicating with clients, engineers, and other technicians to ensure effective service delivery, and conducting quality assurance on machines.

Job Responsibilities

• Troubleshooting and diagnosing problems and technical issues with customers
• Performing of preventive maintenance
• Maintaining up-to-date reports on technical issues that have been resolved and how it was resolved.
• Selling and renewing services contracts for customers
• Communicating with clients, engineers, and other technicians to ensure that services are delivered effectively.
• Conducting quality assurance on machines
• Following up on services request.

Candidate Requirements

• Bachelor’s degree in engineering field
• 3 to 5 years of experience in similar position
• Ability to work in team.
• good interpersonal skills.
• Attention to details.

Education

Long Description

Job Summary

Data integration, unification, cleansing and data quality management

Job Responsibilities

Management of data inflow

• Create and maintain optimal data pipeline architecture; adopt new technologies to improve existing frameworks of data flow and monitoring
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies; take necessary steps to implement necessary changes in the IT infrastructure such as MDM tool acquisition, data lake design, cloud solutions implementation in coordination with IT and technology coordinator
• Create data tools for analytics and data scientist team members that assist them in building models by automating and simplifying data preparation
• Translate customer data strategy into actionable data integration plans and execute these plans
• Maintain 360 degree view of customer, enhance the customer datamarts by continuously integrating new sources of data

Data cleansing and unification

• Create automated data anomaly detection systems and constant tracking of its performance
• Process, cleanse, and verify integrity of data used for analysis; active use of built-in data quality dashboard on CDP and coordination of corrective actions
• Develop algorithms to de-duplicate and export customer data from multiple BUs to ensure data unification
• Ensure continuous unification of customer records and associated profile and transactional data

Candidate Requirements

Education