Position: Data Engineer (Azure Platform)
Location: Lahore (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.