Audit Partnership
Multinational Companies

Audit Partnership Limited a leading multinational company invites applications from highly energetic and qualified candidates for the following position:

Data Engineer

Views: 3007 | Apply Before: 1 day, 3 hours from now

Basic Job Information

Job Category	:	IT & Telecommunication
Job Level	:	Mid Level
No. of Vacancy/s	:	[ 6 ]
Employment Type	:	Full Time
Job Location	:	Anamnagar, Kathmandu
Offered Salary	:	Not Disclosed
Apply Before(Deadline)	:	Jun. 23, 2025 23:55 (1 day, 3 hours from now)

Job Specification

Education Level	:	Under Graduate (Bachelor)
Experience Required	:	More than 2 years
Professional Skill Required	:	Interpersonal Skills Problem-Solving Skills SQL Python Data Manipulation

Other Specification

Bachelor’s degree (or equivalent) in Computer Science, Engineering, Information Systems, Information Technology, or a related field
2 to 4 years of hands-on experience in data engineering or a related role
Proficiency in SQL, including writing basic to advanced queries (SELECT, JOINs, filtering, aggregations), with strong experience in SQL Server environments
Working knowledge of ETL processes and tools such as SQL Server Integration Services (SSIS) and/or Azure Data Factory (ADF)
Solid programming skills in Python for data manipulation, automation, and scripting (including knowledge of variables, loops, functions, and common libraries)
Familiarity with data structures, algorithms, and basic programming concepts
Understanding of relational databases, data modeling, and database design principles
Experience with various file formats such as CSV, JSON, XML, and Parquet
Exposure to version control systems like Git is a plus
Experience working with reporting or BI tools such as SSRS and/or Power BI
Strong problem-solving skills, attention to detail, and ability to work both independently and within a team
Eagerness to learn new technologies and grow in a collaborative, fast-paced environment

Preferred Skills:

Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure
Advanced knowledge of Azure Data Factory (ADF) and SQL Server Integration Services (SSIS)
Experience with Power BI report creation and dashboard development
Familiarity with cloud-based data platforms and services
Basic knowledge of Linux/Unix command line operations
Experience with data visualization tools such as Tableau, Power BI, or similar BI platforms
Knowledge of version control systems, especially Git
Familiarity with data formats like JSON, CSV, and Parquet
Understanding of data governance, data security, and best practices in data handling

Competencies required:

Introduction of innovation and management of initiatives.
Strategic approach towards problem solving.
Team player
Highly Proficient in spoken and written English
Excellent interpersonal and leadership skill.

What we offer:

A fantastic work life balance Mon-Fri (Saturday and Sunday off)
Office hour 9:00Am – 5:30PM with flexible working hours policy.
Monthly performance bonus
Social Security Fund
Festive Allowance
13 days Public Holiday, 18 days paid annual leave, 12 days paid sick leave, Maternity and Paternity leave.
Expert guidance and nurture from global leaders
Opportunities for career and personal advancement with our continued global growth strategy
A working environment that is exciting, fun and engaging

Job Description

We are looking for a motivated Data Engineer to join our team at Audit Partnership in the fast-paced environment of multinational companies. As a Data Engineer, you will play a crucial role in our organization by designing, building, and maintaining efficient data systems for our clients.

Key Responsibilities for Junior Level:

Assist in building, testing, and maintaining data pipelines and ETL workflows
Write and optimize basic SQL queries for data extraction and reporting
Support data quality checks and troubleshoot data issues
Collaborate with cross-functional teams to understand data requirements
Help document data processes and pipelines
Learn and grow your skills in Python scripting and data engineering tools

Key Responsibilities for Mid-Level:

Design, build, and maintain ETL workflows and data pipelines using SQL
Server Integration Services (SSIS) or Azure Data Factory (ADF)
Write complex SQL queries for data extraction, transformation, and loading
Manage and optimize data storage and retrieval in SQL Server environments
Work with various file formats and data ingestion techniques
Support and develop reporting solutions, collaborating with BI teams
Troubleshoot and resolve data issues to ensure data quality and integrity
Collaborate with cross-functional teams to gather and understand data and reporting requirements
Document data processes, pipelines, and workflows
Mentor junior data engineers and contribute to team knowledge sharing