。该工作已被公司管理人员暂停申请，不再接受简历投递

Sr. Data Engr. , Sr. Data Analyst II / Engr., Sr. Data Analyst III / Engr.

Pakistan Single Window

多个城市，巴基斯坦

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发布 Aug 22, 2023 292 查看

Main Responsibilities:

Develop analytical and operational reporting solution using SSIS, SSAS and Power BI
Assist in identify solutions to reporting needs and, if necessary, develop new reports or modify existing reports
Develop and implement ETL solution
Document project-specific processes and data flows, data dependencies, data definitions and relevant business rules
Implement data security model across all business intelligence products including row level security and partitioning.
Deliver all work products to defined best practice standards and ensure high quality results

Required Skill set:

Good theoretical background and hands on experience in Normalized and Denormalized database design
Good Understanding of dimensional modeling, designing facts and dimensions table
Hands on in complete ETL design & development cycle including data analysis, database design, data mapping, transformation and data load on Microsoft BI stack
Reporting and Analytics presentation layer expertise including Dashboards, Reporting, and OLAP on Power BI & other Microsoft products
Knowledge of modern software development practices such as agile methodologies and DevOps and test driven development
Self-motivated, quick learner and a responsive team player
Excellent written/oral communication, presentation, and interpersonal skills
Ability to work under pressure, within agreed targets and timescales and deliver quality outcomes.

技能

MSBI SSAS SSIS Power BI

工作详细内容

全部职位:

4 发布

工作时间:

早班

工作类型:

全职/长期工

工作地址:

伊斯兰堡, 卡拉奇, 拉瓦尔品, 巴基斯坦

性别:

没有偏好

年龄:

25 - 40 年

最低学历:

学士

学位头衔:

Minimum Bachelors (4 year) (HEC recognized) degree in Software Engineering, Computer Engineering or related field

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:

2年 (At least 2 years of experience in BI solution development and implementation using MSBI Stack)

在之前申请:

Sep 06, 2023

发布日期:

Aug 22, 2023

Diversity Inclusion:

We value diversity of our employees. All qualified applicants will receive fair consideration without regard to genders or socio-economic backgrounds.

Work Environment

Supervisor’s gender:

Male

Percentage of female coworkers:

20-29%

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.