Data Engineer (Azure Platform)

• 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.