Jaffer Business Systems (JBS), founded in 1982 as a division of Jaffer Brothers, has been at the forefront of technology solutions for over four decades. Today, JBS is one of Pakistan’s leading IT companies, empowering organizations through innovation, digital transformation, and people-centric technology. Guided by its vision, “Harnessing Innovation & Empowering Generations,” JBS delivers comprehensive technology solutions spanning IT infrastructure, enterprise software, advanced applications, consulting services, and digital transformation.
JBS has a diverse portfolio of subsidiaries, including Hysab Kytab, Energy & Automation Pakistan, Blutech Consulting, and Imparé, along with specialized business units serving clients across Pakistan and international markets. Through collaboration, innovation, and continuous learning, JBS creates value for its clients, employees, and communities.
Role Overview
Experience: 1–3 years
Employment Type: Contract
Focus: Data Engineering, Snowflake, Full-Stack / AI-ML
We are looking for a hands-on Data Engineer with mandatory professional experience in Snowflake and 1–3 years of overall engineering experience. The ideal candidate may come from either a Full-Stack Development or AI/ML Engineering background and should have strong foundational knowledge of databases, data workflows, and programming.
The Data Engineer will be responsible for designing, building, optimizing, and maintaining scalable data workflows, pipelines, models, and architecture centered around Snowflake. The role will involve collaborating with engineering and product teams to ingest, transform, and serve data effectively, while ensuring query performance, cost efficiency, data quality, and reliability.
This is a hands-on contract role requiring the ability to quickly understand existing systems, contribute independently, and deliver solutions in a fast-paced environment.
Location
Onsite
Business Unit / Department
Mode
Onsite 7PM-3AM
Type
Contract – 3 Months
Job Responsibilities
- Design, build, and maintain scalable data models, tables, views, and data pipelines using Snowflake.
- Develop and optimize robust data workflows to support business, application, and machine learning requirements.
- Leverage strong Snowflake expertise to manage and organize data for efficient storage, processing, and consumption.
- Bridge application development or machine learning workflows with data infrastructure and engineering solutions.
- Collaborate with engineering and product teams to effectively ingest, transform, process, and serve data.
- Develop and maintain reliable data pipelines for structured and unstructured data workflows.
- Monitor and optimize Snowflake query performance, compute utilization, and data storage costs.
- Identify opportunities to improve data architecture, pipeline efficiency, and overall system performance.
- Support data workflows related to Full-Stack applications, AI/ML models, feature engineering, and model data requirements.
- Troubleshoot data pipeline, query, integration, and performance-related issues.
- Collaborate with cross-functional engineering teams to understand data requirements and translate them into technical solutions.
- Ensure data pipelines and workflows are reliable, scalable, and maintainable.
- Support the implementation of modern development and deployment practices, including CI/CD workflows.
- Work with cloud platforms such as AWS, Azure, or GCP as required.
- Contribute to technical documentation related to data pipelines, architecture, workflows, and processes.
- Quickly understand existing systems and contribute effectively within a fast-paced contract environment.
- Participate in testing, debugging, optimization, and deployment of data engineering solutions.
Skills
- Strong hands-on experience with Snowflake is mandatory.
- Strong proficiency in SQL and relational database concepts.
- Good understanding of data engineering concepts, including data pipelines, data transformation, data modeling, and data workflows.
- Strong foundational experience in either:
- Full-Stack Development, with strong backend and database integration skills; or
- AI/ML Engineering, with experience in feature engineering, data pipelines, and supporting machine learning data workflows.
- Experience designing and optimizing Snowflake tables, views, queries, and data pipelines.
- Understanding of Snowflake performance optimization and compute/storage cost management.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with modern CI/CD practices and software development workflows.
- Strong troubleshooting, analytical, and problem-solving skills.
- Ability to work independently and quickly adapt to existing technical environments.
- Strong collaboration and communication skills.
- Ability to work effectively in a fast-paced, delivery-focused contract environment.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, Artificial Intelligence, or a related field.
- 1–3 years of professional hands-on engineering experience.
- Proven professional experience working directly with Snowflake is mandatory.
- Practical experience developing and maintaining data workflows, pipelines, or data infrastructure.
- Strong experience with SQL and programming languages such as Python.
- Professional background in either Full-Stack Development or AI/ML Engineering.
- Experience with database integration, data pipelines, feature engineering, or model data workflows.
- Familiarity with at least one major cloud platform such as AWS, Azure, or GCP.
- Exposure to CI/CD and modern software development practices.
- Demonstrated ability to troubleshoot technical issues and deliver solutions independently.
- Experience working in a fast-paced engineering environment is preferred.