Intermediate Analytics Engineer I - Teknosys

PMCL-JAZZ; Pakistan; On-site; PKR 1,300,000 - 1,800,000; Full time

Job summary

A leading telecommunications provider in Pakistan is seeking an Intermediate Analytics Engineer to design scalable ETL pipelines and collaborate with cross-functional teams. You must have over 4 years of experience in the Data Analytics domain, strong ETL and SQL skills, and knowledge of data warehousing. Join a vibrant teamthat values innovation and continuous learning.

Qualifications

• 4+ years of experience in Data Analytics domain.
• Hands-on knowledge of Data Lakes and Data Warehousing.
• Strong proficiency in advanced SQL for data transformation and optimization.
• Ability to integrate data from diverse sources.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines using Informatica.
• Optimize job performance through partitioning and caching.
• Collaborate with cross-functional teams to translate business rules.

Skills

Data Analytics experience

Agile methodologies

ETL Development

Advanced SQL

Data Lakes knowledge

Shell Scripting

Tools

Informatica BDM

AWS

Azure

GCP

Job description

Grade Level: L2 | Location: Islamabad | Last date to apply : 11/11/2025

What is an Intermediate Analytics Engineer?

We are looking for someone who has a strong analytical mindset with problem‑solving aptitude. The ideal candidate will be entrepreneurial, truthful, innovative, collaborative and customer‑focused, and must demonstrate from previous experiences these abilities. You need to have relevant experience in the Data Analytics domain and have experience with Agile methodologies. You will be joining a 40-member team (including the department head) with various project teams and will be reporting directly to Practice Lead.

What does an Intermediate Analytics Engineer do?

• Design and maintain scalable ETL/ELT pipelines using Informatica BDM/DEI. Optimize mappings, workflows and sessions for performance, scalability, reliability and maintainability.
• Integrate and transform structured and unstructured data from multiple sources (RDBMS, Hadoop, Hive, Spark, cloud data lakes).
• Identify gaps in data analytics processes and implement performance and quality improvements.
• Build and support data warehousing and analytics solutions aligned with business needs.
• Contribute to the practice backlog to enhance standards, assets, and team learning.
• Deliver on functional backlogs across operations, development, and reporting.
• Collaborate with cross‑functional teams to translate business rules into technical mappings.
• Implement CI/CD, version control, and automation for Informatica workflows.
• Optimize job performance through partitioning, caching, and resource tuning.
• Maintain documentation of data flows, mappings, transformation logic, and technical specifications.
• Adhere to data governance, security, and compliance standards.

Why Join Jazz?

As one of the leading employers in the country, Jazz epitomizes the philosophy that each Jazz employee is passionately living a better every day inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development. Our core values include qualities essential for a positive organizational culture—truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across‑the‑board customer‑obsession. As one of the largest private sector organizations in Pakistan, our objective is to continue to change the lives of our 75 million customers for the better. This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success. Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy.

What are we looking for and what does it require to be Intermediate Analytics Engineer?

• 4+ years of experience in Data Analytics domain
• Experience working in agile environment
• Hands on knowledge of Data Lakes and Data Warehousing
• Good understanding and experience of Shell Scripting
• Strong hands‑on expertise in ETL development, particularly using Informatica BDM (Big Data Management) and Informatica DEI (Data Engineering Integration)
• Ability to integrate data from diverse sources: structured, semi‑structured, unstructured (e.
• Strong proficiency in advanced SQL (for data transformation, aggregation, optimization)
• Knowledge of data warehousing and data lake architecture concepts: star/snowflake schemas, Type‑2 SCD, partitioning, change data capture
• Familiarity with DevOps practices: CI/CD pipelines, version control for ETL/BDM jobs, process automation aligning with Agile methodologies.
• Capability to work with any of the cloud platforms and big data distributions (Azure, AWS, GCP, Cloudera etc.) would be a plus