Experienced Data Product Engineer

Company:

Overview

As a leading global aerospace company Boeing develops manufactures and services commercial airplanes defense products and space systems for customers in more than 150 countries. As a top U.S. exporter the company leverages the talents of a global supplier base to advance economic opportunity sustainability and community impact. Boeings team is committed to innovating for the future leading with sustainability and cultivating a culture based on the companys core values of safety quality and integrity.

Technology for today and tomorrow

The Boeing India Engineering & Technology Center (BIETC) is a 5500 engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D innovation and high-quality engineering work in global markets and leverage new-age technologies such as AI/ML IIoT Cloud Model-Based Engineering and Additive Manufacturing shaping the future of aerospace.

People-driven culture

At Boeing we believe creativity and innovation thrives when every employee is trusted empowered and has the flexibility to choose grow learn and explore. We offer variable arrangements depending upon business and customer needs and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration frequent team engagements and face-to-face meetings bring together different perspectives and thoughts enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work we are committed to positively shaping peoples careers and being thoughtful about employee wellbeing.

With us you can create and contribute to what matters most in your career community country and world. Join us in powering the progress of global aerospace.

Find your future with us

Boeing Data Analytics team is looking for Data Product Engineer to help build cloud-based Data Products. This position will focus on supporting the Boeing IT&DA goals of developing cloud native applications/adopting multi-cloud strategy.

Good communication skills are needed both verbally and written to Interact with peers and customers. Job requires the ability to work well with others on a team as well as independently. Job requires working within a diverse team of skilled and motivated co-workers to collaborate on results. Other qualities for this candidate are a positive attitude self-motivated the ability to work in a fast-paced demanding environment and the ability to adapt to changing priorities.

This role will be based out of Bangalore India.

Position Responsibilities:

• Design enterprise semantic models and ontologies to make data understandable and consumable across business functions.
• Translate business use cases and stakeholder requirements into reusable semantic layers canonical metrics and metric-store definitions.
• Own the design implementation and operation of a production metric store (definitions storage lineage access controls quality checks).
• Strong hands on experience in building semantic models - DBT is preferred (or equivalent metric store frameworks)
• Define and enforce semantic-layer and metric governance: naming standards metric definitions versioning testing and lineage.
• Build and maintain metadata and lineage integrations to support traceability and trust in metrics.
• Collaborate with data engineering analytics product and platform teams to embed semantic artifacts into data pipelines and analytics.
• Provide technical leadership and mentorship; run design reviews and evangelize semantic best practices.
• Validate metric correctness with owners and implement automated metric tests and monitoring.
• Stay current on industry trends (metric stores knowledge graphs semantic layers) and recommend pragmatic tool choices.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

• A Bachelors degree or higher is required as a BASIC QUALIFICATION
• 8 years of experience as a data engineer. Strong understanding of Semantic Modeling Data Products and datalake.
• Proven experience in data modeling particularly for semantic layers in a business-facing role.
• Strong understanding of data products and their applications within a data lake house architecture.
• Experience in developing a metric store with knowledge graph capabilities to enhance data quality and lineage.
• Excellent communication skills with the ability to convey complex data concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills with a focus on delivering actionable insights.

Preferred Qualifications (Desired Skills/Experience):

• Hands-on experience with AWS specifically in implementing Data Zone and related services.
• Hands-on experience with any ontology tools such as dbt Labs QuickSight AtScale or DataWalk.

Typical Education & Experience:

• Education/experience typically acquired through advanced education (e.g. Bachelors) and typically 9 years of related work experience or Masters Degree with 8 years of related work experience.

Relocation:

• This position does offer relocation within INDIA.

Language Requirements:

Education:

Relocation:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

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