Senior Full Stack Data Engineer - Methods & Tools

Job Requisition details:

To move forward with your application, please submit your resume through our official Airbus Careers page. You can easily find the position by searching for Job Requisition Number: JR10411607

Role & responsibilities

Exp: 8 - 11 Years (Mandatory )

Location: Bangalore

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:

• Bachelors degree in Computer Science, Engineering, or a related field (Masters 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.