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Job Information

The Boeing Company Lead Data Engineer in Bengaluru, India

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

Data Analytics 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.

This job might be for you if:

You want to be part of a high performing team playing a key role in ensuring that customers have the best experience moving to the cloud suite of products.

You enjoy solving problems. You love taking on difficult challenges & finding creative solutions.

You pay attention to details. As far as you’re concerned, do it right the first time is not just a mantra, but a daily practice.

You like helping people & work in a collaborative spirit. You like learning new things & you can learn things quickly.

You have the courage to question the status quo & be the change agent in driving new paradigm & thought leadership.

On first day we expect you to have the following

  • 12+ years of experience in design and implementation of data products

  • Excellent and in-depth command over DataLake/Datawarehouse technologies, SaaS and Cloud with extensive knowledge on GCP or Azure and building blocks within the platform

  • Experience in implementing at least one Cloud based data products (transactional/No-SQL datastores) including secure cloud design considering both infrastructure and data

  • Hands on programming experience in either Python, Java or Scala

  • Hands on experience in building data pipelines using GCP and/or Azure platform

  • Hands on experience with data pipeline orchestration tools such as Airflow/GCP Composer

Some of the preferred, but not mandatory skills are

  • Aviation domain experience

  • Experience building self-service tooling and platforms

  • Contributed to open source projects (Ex: Operators in Airflow)

  • Certified Cloud Architect certification (either GCP or Azure)

Typical Education & Experience:

  • 12+ years related work experience or relevant military experience. Advanced degree (eg. bachelor, master, etc) preferred but not required.

Relocation:

  • This position offers relocation with in India

Export Control Requirements: Not an export control position

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 (https://www.thevaluable500.com/) and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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