About this role
Position: Data Engineer (Azure Platform)
Location: Lahore, Pakistan (on-site)
Job Description • Design and develop scalable data warehouse solutions to support analytics and reporting. • Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes. • Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations. • Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity. • Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik. • Manage the presentation and access layers to ensure secure and efficient data access. • Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions
Qualifications
• BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects. • Strong expertise in database and data warehouse design, support, and maintenance. • Proficiency in writing complex SQL and SparkSQL queries. • Experience in Python and its data-related frameworks. • Hands-on experience with Databricks and PySpark for data engineering tasks. • Strong proficiency in Power BI; experience with other BI tools is a plus. • Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred. • Ability to generate and maintain comprehensive technical documentation. • Excellent communication and interpersonal skills. • Strong analytical and problem-solving abilities. • Willingness to learn and adapt to new technologies and project requirements. • Experience in data analysis is a plus. • Ability to work independently and handle critical situations confidently. • A collaborative, team-oriented mindset.