Job description
Grade: L2 Location: Lahore Last date to apply: 5th June 2026 What is Expert Software Engineer?
We are seeking a highly skilled and experienced Expert Software Engineer with strong expertise in Data Engineering, Big Data platforms, and large-scale ETL ecosystems, particularly within Fraud Management, Billing, and Revenue Assurance domains.
The ideal candidate will have hands-on experience with Hadoop, Oracle, Linux environments, automation scripting, and enterprise-grade data processing systems, and will be responsible for designing, developing, optimizing, and maintaining high-performance data pipelines and scalable data platforms that support mission-critical business operations.
The role requires close collaboration with cross-functional engineering, operations, analytics, and business teams to deliver reliable, scalable, and high-quality data solutions while continuously enhancing system performance, automation, monitoring, scalability, and operational efficiency.
This role reports to Manager Assurance and Billing.
What does Expert Software Engineer do?
· Design, develop, and maintain scalable data pipelines and ETL workflows for large-scale data ingestion, transformation, aggregation, and processing across staging and production environments.
· Administer and optimize big data platforms and storage systems, including Hadoop ecosystems, partitioning strategies, retention management, deduplication, and archival processes.
· Develop and maintain automation, monitoring, and alerting solutions for ETL jobs, data loading activities, server health, disk utilization, and operational workflows.
· Perform root cause analysis, troubleshoot data processing and system-level issues, resolve data discrepancies, and ensure high availability, reliability, and operational stability.
· Manage Linux-based environments, file systems, logging, traceability, and data governance processes while applying ASN.
1 and related data encoding/decoding standards where required.
· Collaborate with cross-functional teams to deliver high-quality data solutions, continuously improve platform performance and scalability, and maintain technical and operational documentation.
Why join JazzWorld?
As a certified Top Employer, JazzWorld reflects workplace standards benchmarked against leading global organizations, demonstrating our commitment to creating an environment where people can thrive and perform at their best.
Our teams are driven by the belief that every JazzWorld employee should be inspired to live better every day, enabled by forward-looking leadership, an open culture, meaningful work, and continuous opportunities to learn and grow.
Our core values - Customer Obsession, Truthful, Innovation, Collaboration, and Entrepreneurial shape how we think, decide, and lead.
They encourage us to challenge convention, act with accountability, work as one team, and create solutions that truly matter for our customers and communities.
As Pakistan's largest digital operator, JazzWorld serves over 100 million through connectivity, digital services, financial inclusion, entertainment, and insurance.
Joining us means being part of transformation at a national scale; expanding access, unlocking opportunity, and building a more connected digital future.
At JazzWorld, everything we do is rooted in one shared ambition.
This purpose defines how we work, the progress we enable, and the difference we strive to make every day a Better Life For All.
· 5–7+ years of hands-on experience in Data Engineering, Big Data platforms, or related enterprise data environments.
· Strong expertise in Hadoop ecosystem, Oracle databases, ETL frameworks, Linux server administration, and distributed data processing systems.
· Proven experience designing and managing enterprise-scale data pipelines along with workflow orchestration, monitoring frameworks, and data quality processes.
· Strong scripting and automation skills using Shell scripting, Python, or similar technologies with a focus on operational excellence and reliability.
· Deep understanding of ASN.
1 and telecom data domains including Fraud Management, Billing, and Revenue Assurance.
· Strong analytical, troubleshooting, communication, and collaboration skills with the ability to resolve complex production issues and work effectively across cross-functional teams.
Preferred Skills (Good to Have): · Experience with enterprise telecom data environments and large-scale distributed systems.
· Exposure to data governance, metadata management, and operational analytics.
· Knowledge of scheduling and orchestration tools such as Oozie, Airflow, or Control-M.
· Familiarity with production support processes, SLA management, and incident handling.
Understanding of scalable architecture patterns and performance optimization techniques for big data systems.
This job post has been translated by AI and may contain minor differences or errors.
