Executive DI - Data Engineer

Zong 5G; Islamabad; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

Zong 5G in Islamabad seeks an Executive DI - Data Engineer to design, develop, and optimize data pipelines across GaussDB, Teradata, Hadoop and OBS ecosystems, enabling robust analytics and BI capabilities.

You will build ETL/ELT processes, ensure data quality, and collaborate with stakeholders to translate business needs into scalable data solutions, working with relational and big data technologies in a permanent, on-site role.

Qualifications

• Bachelor's degree or above, preferably in Computer Science.
• 1–2 years of relevant experience in Data Engineering/ Analytics.
• Proactive and able to work under pressure with attention to detail.

Responsibilities

• Understand business requirements, design and develop ETL pipelines and data loading processes.
• Support internal and external Data Engineering projects; investigate and fix data quality issues.
• Design, develop, and maintain robust ETL/ELT pipelines for multiple sources into data warehouses/lakes; architect scalable data solutions for on-prem and cloud.
• Collaborate with stakeholders to translate business needs into technical data solutions.
• Optimize data pipelines, ensure data quality and governance; work with structured/unstructured data across sources.
• Support project planning, estimation, and status reporting to senior leadership; contribute to proposals and RFP activities.
• Stay updated with emerging data engineering tools and technologies and recommend adoption where relevant.

Skills

Data management

Analytical thinking

Communication

Time management

SQL queries

Python/Java

ETL/ELT basics

Relational DBs

Big data tools

Linux basics

Data warehousing

NoSQL

Education

Bachelor's degree or above

Tools

GaussDB

Teradata

Hadoop

Hive

Spark

Job description

Department & Function:

Digital Intelligence

Position:

Executive DI - Data Engineer

Location:

Islamabad

Reporting to:

Sr. Manager Data Engineering

Job Type:

Permanent

Job Purpose:

To Design, development, and optimization of enterprise data engineering solutions across GaussDB, Teradata, and Hadoop ,OBS ecosystems, ensuring robust, scalable, and high-performing data pipelines that support the organization's data warehousing, analytics, and business intelligence needs

Job Responsibilities:

• Understanding business requirements, designing and developing ETL pipelines and to develop complete data loading process.
• To support in internal and external Data Engineering Projects Investigation and Fixing of Data Quality Issues along with support for operational issues in case of failures.
• Design, develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses/lakes Architect and implement scalable data solutions using on prem & Cloud platforms Collaborate with client stakeholders to gather requirements and translate business needs into technical data solutions.
• Optimize data pipeline performance, ensure data quality, and implement data governance best practices.
• Work with structured and unstructured data across relational databases, data lakes, and streaming sources.
• Support project planning, estimation, and status reporting to senior leadership.
• Contribute to proposal development, solution's, and RFP activities as needed.
• Stay current with emerging data engineering tools and technologies, recommending adoption where relevant.

Eligibility Criteria (Education, Knowledge, Experience and Skills):

Education:

In principle, a bachelor's degree or above, preferably in Computer Science.

Work Experience:

Should preferably have 1-2 years of relevant experience in Data Engineering/ Analytics.

Skills – Generic:

• Should be passionate about data, data management, and its role in organizational decision-making and performance boost.
• Potential to achieve results with personal efforts and team coordination.
• Ability to work in a challenging environment and sustain pressure
• Have keen attention to accuracy, proficiency, and time management.
• Good analytical skills and decision-making.
• Effective communication and negotiation skills for dealing with technical and business alike.

Skills – Job Specific:

• Strong understanding of SQL writing queries, joins, aggregations, and basic query optimization Programming proficiency in (Python or Java)
• Basic understanding of ETL/ELT concepts — extracting, transforming, and loading data between systems Familiarity with relational databases (MySQL, PostgreSQL, Oracle, Teradata, GaussDB, etc.)
• Exposure to big data tools (Hadoop, Hive, Spark) — coursework, certifications, or hands-on projects count
• Basic knowledge of Linux/Unix commands and shell scripting Understanding of data warehousing concepts (fact/dimension tables, star/snowflake schema)
• Basic knowledge of NoSQL/caching systems (Redis, MongoDB)