- Design, develop, and maintain scalable ETL/ELT data pipelines. - Build and optimize data warehouses, data lakes, and data marts. - Integrate data from multiple internal and external sources. - Develop and maintain database structures and data models. - Ensure data quality, integrity, security, and governance. - Monitor and optimize data pipeline performance. - Collaborate with Data Analysts, Business Analysts, and Software Developers. - Automate data processing and reporting workflows. - Troubleshoot data-related issues and document technical specifications. - Experience: At least 2-3 years in Data Engineering or related roles. - Education: Bachelor's Degree in IT, Computer Science, Engineering, or a related field. - Technical Skills: Strong SQL (SQL Server, PostgreSQL, MySQL) and proficiency in Python, Java, or Scala. - Tools: Hands-on experience in ETL development and knowledge of QlikView or other BI tools. - Domain Knowledge: Understanding of data governance, security, and compliance best practices.