Data Engineer

Role Overview

Key Responsibilities

• Design, develop, and deploy scalable data pipelines and integration solutions across major cloud platforms including AWS, Azure, or GCP.
  
• Execute complex data transformation processes to convert raw data into usable formats for analysis and reporting.
  
• Implement and monitor data quality frameworks to ensure the integrity, consistency, and reliability of all data assets.
  
• Optimize database queries and data models to enhance system performance and reduce latency.
  
• Engineer end-to-end ETL and ELT workflows to facilitate seamless data movement between diverse sources and destinations.
  
• Continuously improve data architecture to support growing business needs and emerging analytical requirements.
  

Qualifications and Skills

• Possess 4 to 7 years of professional experience in data engineering within the IT Services sector.
  
• Demonstrated expertise in working with cloud-based data platforms (AWS, Azure, or GCP).
  
• Proficiency in developing and managing data integration, transformation, and pipeline monitoring tools.
  
• Strong command of query optimization techniques and advanced data modeling principles.
  
• Proven track record in building and maintaining ETL/ELT processes and data pipelines.
  
• Ability to translate business requirements into technical data solutions with a focus on scalability and performance.
  

Compensation

• Competitive annual salary package of ₹17 LPA.