Main Responsibilities 

  • Develop and implement data pipelines that extract, load and transform data from various sources: This includes using ELT tools and technologies to clean, transform, and integrate data from different systems using Oracle Data Integrator. 
  • Design and develop data models that store data in a way that is efficient and scalable: This includes using data modelling techniques to create data structures that meet the needs of the business. 
  • Build and deploy data warehouses and data lakes that store large amounts of data: Responsible for on-premises Oracle technologies using Oracle Data Integrator and other tools. 
  • Develop and implement data security measures to protect data from unauthorized access and misuse: This includes using encryption, access control, and other security measures to protect data. 
  • Work with stakeholders to understand their data needs and develop solutions that meet those needs: This includes communicating with stakeholders about data requirements, data quality, and data security. 
  • Stay up-to-date on the latest data technologies and trends: This includes learning about new data tools and technologies, as well as new ways to use data to solve business problems. 
  • Conducting data analysis Developing data visualizations Integrating data with other applications 
  • Troubleshooting data problems Writing data documentation  

Qualification, Experience, and Skills: 

  • Bachelor's degree in computer science, or a related field (preferred) 
  • Minimum 3+ years of experience in the relevant field.
  • Proven experience in data transformation, Oracle Data Integrator is preferred. 
  • Sound knowledge of security principles, procedures, and practices 
  • Strong analytical thinking and problem-solving capabilities 
  • Effective communication and interpersonal skills 
  • Ability to handle confidential and sensitive information with discretion
  • Strong SQL queries, data modelling concepts are mandatory. 

工作详细内容

全部职位:
1 发布
工作时间:
早班
工作类型:
部门:
Technology Solution
工作地址:
性别:
没有偏好
最低学历:
学士
学位头衔:
Bachelor\'s degree in computer science, or a related field (preferred)
职位等级:
资深专业人员
电话预约已成功,我们的专家会在短时间内与你联系:
3年
在之前申请:
Sep 30, 2024
发布日期:
Sep 15, 2024

Pakistan Single Window

· 101-200 员工 - 卡拉奇

Pakistan Single Window (PSW) is an ICT-based system in Pakistan providing a single window for trade. PSW is a facility that allows parties involved in trade and transport to lodge standardized information and documents at a single-entry point to fulfill all import, export, and transit-related regulatory requirements. If information is electronic, then individual data elements need to be submitted only once. PSW will connect relevant government departments with each other and with economic operators like importers, exporters, customs agents, shipping agents, transporters etc, in Pakistan for efficient management of cross border trade. It will provide the ease and transparency in achieving compliance with relevant regulatory requirements, through an on-line facility, that will intelligently handle the information for each transaction without the need to provide same information more than once or to physically visit such government departments. Pakistan has committed to implement various provisions of World Trade Organization’s (WTO) Trade Facilitation Agreement that includes implementation of a National Single Window (NSW) system before February, 2022. Pakistan also needs PSW implementation to overhaul management of its external trade for reducing time, cost and complexity involved to improve its position in various global rankings on competitiveness and ease of doing business. Guiding vision and mission objectives: VISION: Pakistan will establish a world-class automated hub by 2022, offering services and creating efficiencies, to reduce cross border trade related costs, time and complications for improved trade facilitation and compliance. MISSION: Improve cross-border trader processing by providing centralized ICT based services, simplified processes, effective and reliable automation, harmonized data exchange and risk-based selectivity in enforcement of government’s regulations.

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