Data Engineer

KPG99 INC; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading technology firm is seeking a qualified Data Engineer for a 6-month contract position in Gurgaon, India. The role involves designing and developing cloud-native data applications and supporting digital transformation initiatives. Candidates should possess over 5 years of experience in Python and AWS, along with a Bachelor's degree in a relevant field. This position emphasizes collaboration and innovative solutions in a hybrid work environment.

Qualifications

• 5+ years of IT and business/industry experience.
• 5+ years of hands-on Python development experience.
• Proven experience building large-scale distributed applications.
• Strong understanding of data models, data mining, and segmentation techniques.
• Proficiency with AWS Cloud services.
• Strong data models, data mining, and segmentation knowledge.
• AWS Cloud services expertise (EC2, S3, RDS, VPC, CloudTrail, CloudFront, Lambda, EKS, ECS)

Responsibilities

• Design, develop, document, test, and debug data applications.
• Support and troubleshoot software systems, optimize performance.
• Ensure proper system integration and consistency.
• Recommend and implement system enhancements.

Skills

Python

AWS

NoSQL

SQL

DynamoDB

Java

Object-Oriented design

Data modeling

Collaboration

Analytical thinking

Problem-solving

Education

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

Job description

Please share your updated resume if you are interested in this opportunity.

Job Title: Data Engineer

Job Term: Contract

Duration: 6 months+

Location: Gurgaon, India (hybrid - 2 days onsite)

Must Have: Python, AWS, noSQL, SQL, dynamoDB

Nice to have: Java

Job Description:

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