Lead Software Engineer–Developer

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) is a 5500+ diverse 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 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.

Boeing India Software Engineering team is currently looking for one Lead Software Engineer Developer to join their team in Bengaluru, KA. As a ETL Developer, you will be part of the Application Solutions team, which develops software applications and Digital products that create direct value to its customers. We provide re-vamped work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest in software technologies for modern web and mobile application development. Through our products we deliver innovative solutions to our global customer base at an accelerated pace.

Position Responsibilities:

• Perform data mining and collection procedures.
• Ensure data quality and integrity, Interpret and analyze data problems.
• Visualize data and create reports.
• Experiments with new models and techniques
• Determines how data can be used to achieve customer / user goals.
• Designs data modeling processes
• Create algorithms and predictive models to for analysis.
• Enables development of prediction engines, pattern detection analysis, and optimization algorithms, etc.
• Develops guidance for analytics-based wireframes.
• Organizes and conducts data assessments.
• Discovers insights from structured and unstructured data.
• Estimate user stories/features (story point estimation) and tasks in hours with the required level of accuracy and commit them as part of Sprint Planning.
• Contributes to the backlog grooming meetings by promptly asking relevant questions to ensure requirements achieve the right level of DOR.
• Raise any impediments/risks (technical/operational/personal) they come across and approaches Scrum Master/Technical Architect/PO accordingly to arrive at a solution.
• Update the status and the remaining efforts for their tasks on a daily basis.
• Ensures change requests are treated correctly and tracked in the system, impact analysis done, and risks/timelines are appropriately communicated.
• 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.
• 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.

Basic Qualifications (Required Skills/Experience):

• Bachelor’s or master’s degree as BASIC QUALIFICATION
• 13-16 years of experience as a data engineer.
• Expertise in SQL, Python, Knowledge of Java, Oracle, R, Data modeling, Power BI.
• Experience in understanding and interacting with multiple data formats.
• Ability to rapidly learn and understand software from source code.
• Expertise in understanding, analyzing & optimizing large, complicated SQL statements
• Strong knowledge and experience in SQL Server, database design and ETL queries.
• Develop software models to simulate real world problems to help operational leaders understand on which variables to focus.
• Candidate should have proficiency to streamline and optimize databases for efficient and consistent data consumption.
• Strong understanding of Datawarehouse concepts, data lake, data mesh
• Familiar with ETL tools and Data ingestion patterns
• Hands on experience in building data pipelines using GCP.
• Hands on experience in writing complex SQL (No- SQL is a big plus)
• Hands on experience with data pipeline orchestration tools such as Airflow/GCP Composer
• Hands on experience on Data Modelling
• Experience in leading teams with diversity
• Experience in performance tuning of large datawarehouse/datalakes.
• Exposure to prompt engineering, LLMs, and vector DB.
• Python, SQL and Pyspark
• Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks
• Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)

Preferred Qualifications [Required Skills/Experience]

• PubSUB, Terraform
• Deep Learning - Tensor flow
• Time series, BI/Visualization Tools - Power BI and Tablaeu, Languages - R/Phython
• Deep Learning - Tensor flow
• Machine Learning
• NLP

Typical Education & Experience:

• Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 13 to 15 years' related work experience or an equivalent combination of education and experience (e.g. Master+12 years of related work experience etc.)

Relocation:

This position does offer relocation within INDIA.

Applications for this position will be accepted until Mar. 31, 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.