Data Engineer

• Design, develop, and maintain data pipelines to process and transform large volumes of data efficiently.
• Normalize and aggregate data across multiple cloud platforms, including AWS, Azure, and Google BigQuery.
• Leverages APIs for data access and integration with internal and external systems.
• Work with web and transactional data to support analytics and business intelligence initiatives.
• Ensure data quality, integrity, and security across all stages of the data lifecycle.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Optimize data workflows for performance and cost efficiency in cloud environments.

Qualifications

Education/Experience:

• Bachelor’s degree in Computer Science, Engineering, or related field from a reputed institute in India.
• Minimum of 8+ years of experience working in a large-scale organization
• Proven experience with AWS, Azure, and BigQuery for data storage and processing.
• Strong proficiency in SQL, Python, and data transformation tools is a must.
• Hands-on experience in building ETL pipelines, data orchestration frameworks, and RESTful APIs.
• Experience handling large-scale datasets and optimizing data workflows.
• Familiarity with e-commerce industry data, including web analytics and transactional data.
• Knowledge of data modeling, normalization, and aggregation techniques.
  • Ability to work independently and as part of a team