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Experienced Data Engineer

4 months ago


Bengaluru, India The Boeing Company Full time
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.

Overview

Boeing is the world’s largest aerospace company and a leading provider of commercial airplanes, defense, space, and security systems, and global services. Building on a legacy of over a century of innovation and leadership, Boeing continues to lead the way in technology and innovation, customer delivery, and investment in its people and future growth of aerospace.

In India, Boeing has been a strong partner to the Indian aerospace and defense sectors for more than 75 years. People at Boeing have been supporting mission readiness and modernization of India’s defense forces, and enabling connected, safer, and smarter flying experiences, in the sky, in the seas, and in space.

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. The Boeing India Engineering & Technology Center (BIETC) is a 3000+ 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.

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.

Position Responsibilities:

Hands-on experience in understanding aerospace domain specific data

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.

Build impactful or outcome-based solutions/products.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

A Bachelor’s degree or higher is required as a BASIC QUALIFICATION

8+ years of experience as a data engineer.

Strong understanding of Datawarehouse concepts, datalake, datamesh.

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

Hands on experience on Data Modelling

Experience in working with Global teams with global mindset.

Mandatory Skills:

Python, SQL and Pyspark

Big Data Ecosystem (Hadoop, Hive, Sqoop, HDFS, Hbase)

Spark Ecosystem (Spark Core, Spark Streaming, Spark SQL) / Databricks

Azure (ADF, ADB, Logic Apps, Azure SQL database, Azure Key Vaults, ADLS, Synapse)

Typical Education & Experience:

Education/experience typically acquired through advanced education (e.g. Bachelor) and typically 8 -10 years' related work experience or an equivalent combination of education and experience (e.g. Master 8 years' related work experience.)

Relocation:

This position does offer relocation within INDIA.

Export Control Requirements:

Not an export control positionEqual 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.

Qualifications