Full Stack Data Engineer

Airbus Group India Pvt Ltd

Bengaluru

On-site

INR 3,000,000 - 6,000,000

Full time

14 days+

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Job summary

Airbus India Private Limited is seeking a Senior Full Stack Data Engineer to design and maintain data infrastructure, enabling scalable analytics and digital solutions across engineering domains. You will collaborate with cross-functional teams to deliver data-driven insights and robust systems.

The role requires deep expertise in data pipelines, databases, ETL, APIs, and cloud-native architectures, with hands-on experience across Python/Java/Scala and modern frontend tech.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
  • 8+ years of experience as a Full Stack Data Engineer or similar role.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Experience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Responsibilities

  • Design and develop robust data pipelines to collect, clean, transform, and store data from diverse sources.
  • Build scalable data models and databases to support applications, analytics, and reporting.
  • Implement efficient ETL processes to ensure data quality and integrity.
  • Develop APIs and microservices for seamless data integration across platforms.
  • Optimize and tune databases and queries for maximum performance and reliability.
  • Ensure compliance with data security and privacy regulations.

Skills

Strong communication
Problem solving
Team collaboration
Customer-facing outreach

Education

Bachelor’s degree in Computer Science/Engineering
Master’s degree preferred

Tools

Python
Java
Scala
AWS
Azure
GCP
Docker
Kubernetes
Kafka
Spark Streaming
MySQL
PostgreSQL
MongoDB
React
Angular
Vue

Job description

Senior Full Stack Data Engineer - Methods & Tools Job Description: Senior Full Stack Data Engineer - Methods & Tools Team: Airbus India - Engineering Methods & Tools About the team: We are a transverse team working with different core engineering verticals in Airbus. The USP of this team is working in a multi-functional environment providing digital solutions to engineering problems. The team is composed of people with Core Engineering domain knowledge complemented by software development skills. The team plays an enabler role in various digitization initiatives across Airbus utilizing the latest technologies and the domain knowledge they have. Some examples of the digital solutions are Data driven designs of wiring, Automated routing electrical harnesses, Data Analytics based products aimed at reducing physical tests of material specimens. We are also involved in developing web-based solutions to encapsulate and automate different workflows such as flight test planning, business management etc. In addition to these, developing tools for Electrical Wiring Harness and Hydraulic Circuit design process improvements. Some of the tools developed are used in the areas of Aircraft Safety analysis and Engineering Business Data monitoring etc.

We are seeking a talented Full Stack Data Engineer to join our dynamic team. As a Full Stack Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and systems. You will collaborate closely with cross-functional teams to implement scalable data solutions that drive actionable insights and support our business objectives.

Responsibilities
  • Design and develop robust data pipelines to collect, clean, transform, and store data from diverse sources.
  • Build scalable data models and databases to support applications, analytics, and reporting.
  • Implement efficient ETL processes to ensure data quality and integrity.
  • Develop APIs and microservices for seamless data integration across platforms.
  • Optimize and tune databases and queries for maximum performance and reliability.
  • Ensure compliance with data security and privacy regulations.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
  • 8+ years of experience as a Full Stack Data Engineer or similar role.
  • Strong proficiency in programming languages such as Python, Java, or Scala.
  • Experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  • Hands‑on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with data streaming technologies (e.g., Kafka, Spark Streaming).
  • Solid understanding of front‑end technologies (e.g., JavaScript, HTML5, CSS) and modern JavaScript frameworks (e.g., React, Angular, Vue).
  • Excellent problem‑solving skills and ability to think critically.
  • Strong communication and collaboration skills.
Soft Skills
  • Ability to work independently and in a team environment.
  • Ability to demonstrate effectiveness in holding conversations with customers in a customer‑centric outreach.
  • Demonstrate ability to work as a team in a highly collaborative environment.
  • Ability to coordinate the efforts of a large team of diverse specialists & experts.
  • Ability to lead in an environment of constant change involving multiple internal processes.

Airbus is proud to be an equal opportunity employer and is committed to creating an inclusive and diverse work environment. AGI selects job applicants (internal and external) on the basis of suitability for the job, and irrespective of gender, marital status, age, sexual orientation, gender identity or expression, nationality, religion, ethnicity or differently abled/ (dis)ability. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus India Private Limited Employment Type: Permanent ------- Experience Level: Professional Job Family: Digital

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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