Experienced Programmer Analyst_Data Engineer

At Boeing, we innovate and collaborate to make the world a better place. 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.

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. Boeing’s diverse team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity.

Technology for today and tomorrow
The Boeing India Engineering & Technology Center (BIETC) in India is leveraging a diverse talented pool of 5,500+ engineers, technologists, and innovators to drive growth and innovation in the global aerospace sector These engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets in traditional and emerging areas, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, to enhance quality, safety, and productivity for airline customers, shaping the future of aerospace in India for India and the world.

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 diverse 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 people’s careers and being thoughtful about employee wellbeing.

At Boeing, we are inclusive, diverse, and transformative. 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

Position Description:
The Boeing Company is currently seeking a high performing versatile Experienced Programmer Analyst_Data Engineer to join the Product Systems build team. The Product Systems build team provides comprehensive software solutions to rapidly access and visually transform complex engineering and manufacturing product data. Responsibilities include development and integration for a variety of Commercial off the Shelf (COTS) and in house software application supporting our engineering/manufacturing teams. 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.

Essential Job Functions/Responsibilities:

• Hands-on experience in understanding aerospace domain specific data
• Must coordinate with data scientists in data preparation, exploration and making data ready.
• Must have clear understanding of defining data products and monetizing.
• Must have experience in building self-service capabilities to users.
• Build quality checks across the data lineage and responsible in designing and implementing different data patterns.
• Works on prototyping and evaluates technical feasibility.
• Can influence different stakeholders for funding and building the vision of the product in terms of usage, productivity, and scalability of the solutions.
• Build impactful or outcome-based solutions/products.

Qualification:

• 7+ years of experience as a data engineer. Strong understanding of Datawarehouse concepts, Data Lake, and data mesh
• Familiar with ETL tools and Data ingestion patterns
• Hands on experience in building data pipelines using Azure.
• Hands on experience in writing complex SQL and No- SQL
• Hands on experience with data pipeline orchestration tools such as Azure data Factory
• Hands on experience on Data Modelling
• Experience on Data visualization using Power BI or Tableau
• Experience in working with Global teams with global mindset.

Mandatory Skills:

• Experience in Core Java/Python, SQL, Data Modelling, Airflow & Spark
• Experience in BQ, CloudSQL, PubSUB, BigTable, Terraform, DBMS, Dataflow and GCS
• Experience in Azure Services

Education:

• Technical bachelor's degree and typically 8 - 12 years of related work experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study.

Relocation:

• This position does offer relocation based on candidate eligibility within INDIA

Applications for this position will be accepted until Mar. 29, 2025

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not sponsor applicants for employment visa status.

Shift

Not a Shift Worker (India)

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 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.