Data Engineer

KPG99 INC

Gurugram District

Híbrido

INR 1.200.000 - 1.800.000

Jornada completa

14 días+

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Descripción de la vacante

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.

Formación

  • 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)

Responsabilidades

  • 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.

Conocimientos

Python
AWS
NoSQL
SQL
DynamoDB
Java
Object-Oriented design
Data modeling
Collaboration
Analytical thinking
Problem-solving

Educación

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

Descripción del empleo

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
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