Data Engineer

Company Overview:

When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there’s really only one: Zones – First Choice for IT.TM

Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud & Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.

Position Overview

The Data Engineer will support the team in building and maintaining data pipelines and transformations across an Azure-first environment. Working under the guidance of a Senior Data Engineer, the role focuses on hands-on development in Azure Data Factory, Azure Databricks, and Azure SQL, with exposure to API integrations and Power BI datasets.

What you will do as the Data Engineer:

• Develop and maintain data pipelines in Azure Data Factory for batch and incremental loads under guidance.
• Write transformation notebooks in Azure Databricks (PySpark/SQL).
• Build and optimize Azure SQL queries, tables, and stored procedures.
• Assist in integrating data from APIs, Logic Apps, and Function Apps.
• Implement data validation checks and monitor pipeline health.
• Follow data security and governance practices (PII handling, Key Vault).
• Support Power BI dataset refreshes and basic model maintenance.

What you will bring to the team:

• 2–3 years of hands-on Data Engineering experience.
• Working knowledge of:
  • Azure Data Factory (ADF) – building pipelines, linked services, datasets
  • Azure Databricks – PySpark / Spark SQL notebooks
  • Azure SQL – strong T-SQL, joins, indexing basics

• Understanding of ETL/ELT concepts and data modeling fundamentals (star/snowflake).
• Exposure to REST API consumption.
• Basic familiarity with Power BI datasets.
• Good communication skills, willingness to learn
  

Zones offers a comprehensive Benefits package

At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.

We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.

Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)