Data Engineer (Python, AWS, noSQL, SQL, dynomoDB)

Description - Data Engineer

Must haves: Python, AWS, noSQL, SQL, dynomoDB

Nice to have: Java

The Data Engineer will support the Cargo Commercial Technology team in advancing digital transformation initiatives, including e-strategy, price quote tools, and API direct solutions. The Data Engineer will design, develop, and maintain critical data applications in collaboration with cross-functional development teams. This role focuses on building scalable, cloud-based data solutions using cutting-edge technologies and enterprise-grade integration platforms. The ideal candidate will drive technical excellence and innovation while ensuring alignment with business objectives and enterprise standards.

Key Responsibilities

Development & Engineering: Design, develop, document, test, and debug data applications and pipelines with a focus on cloud-native solutions

System Optimization: Support and troubleshoot software systems, optimize performance, resolve issues, and provide comprehensive follow-up documentation

Integration & Architecture: Ensure proper system integration and consistency with enterprise standards throughout the application lifecycle

Collaboration: Partner with business, support, and development teams to recommend and implement system enhancements

Qualifications

Required

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

5+ years of IT and business/industry experience

5+ years of hands-on Python development experience

Proven experience building large-scale distributed applications using SQL, DynamoDB, NoSQL, and design patterns

Previous experience as a Data Engineer or in a similar role

Strong understanding of data models, data mining, and segmentation techniques

Proficiency with AWS Cloud services (EC2, S3, RDS, VPC, CloudTrail, CloudFront, Lambda, EKS, ECS)

Working knowledge of Linux environments

Advanced knowledge of software development lifecycle, quality assurance, and project management

Expertise in Object-Oriented design and application development

Ability to collaborate across data teams to validate insights and refine data solutions

Strong analytical and problem-solving skills

Successful completion of interview required to meet job qualification.

Team-oriented mindset with ability to work independently

Hybrid work environment hence candidate should be local to Gurgaon, India

Preferred

Airline industry experience

Experience designing and developing ML/AI models

Proficiency with scientific computing frameworks