Data Engineer

Overview

We are looking for a Data Engineer with 2+ years of experience in data engineering and analysis tasks to meet business requirements and maximize effectiveness. The candidate should understand technical aspects of data management, including creating, collecting, loading, transforming, cleansing, processing, storing, analyzing, and visualizing data into valuable business insights while ensuring data quality, reliability, and accessibility.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes
• Implement data quality checks and monitoring systems
• Create and maintain documentation for data processes and architecture
• Troubleshoot data-related issues and implement solutions
  
  

• Strong proficiency in Power BI, Business Objects, Webfocus, SQL
• Knowledge of ETL tools and frameworks
• Knowledge of scheduling tools
• Knowledge of data modeling
• Experience with data warehousing concepts
• Experience building data products incrementally and integrating and managing datasets from multiple sources
• Agile/Scrum methodology experience
  
  

• Knowledge of cloud platforms (AWS, Snowflake)
• Knowledge of Python programming language
• Knowledge of Version control systems (Git)
• Understanding of CI/CD pipelines (GitHub Actions)
• Familiarity with data visualization tools (Power BI)
• Familiarity with data governance and security protocols
  
  

• Strong problem-solving and analytical skills
• Good communication and collaboration abilities
• Eagerness to learn new technologies and frameworks
• Ability to work in a team-oriented environment
  
  

Graduate - Bachelor's degree (any stream)