Key Responsibilities:


  - 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.


  - 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.

Requirements

  - 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.