Principal Specialist, Data Science & Analytics

RTX (Raytheon)

Bengaluru

Hybrid

INR 2,500,000 - 4,000,000

Full time

3 days ago
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Benefits offered by this job

Daycare
Advancement programs
Flexible work schedules
Leadership programs
Pension plan

Job summary

RTX in Bengaluru seeks an experienced Data Engineer to design, implement, and maintain data pipelines, ensuring high-quality data for analytics and business intelligence.

Role requires strong ETL/ELT skills, data warehousing experience, and collaboration with global teams to deliver scalable data solutions. Hybrid onsite/offsite work and a full-time employment arrangement are offered.

Qualifications

  • BE or masters in a quantitative field with 5–7+ years of relevant data engineering experience.
  • Hands-on experience with data warehousing and ETL tools (SSIS, SQL, SSRS).
  • Strong database knowledge including SQL and NoSQL databases.

Responsibilities

  • Collaborate with cross-functional teams to design data pipelines for ingestion, processing, and transformation.
  • Develop, optimize, and maintain ELT processes for efficient data extraction and loading.
  • Implement data quality checks and monitoring to ensure accuracy and consistency.
  • Create repeatable, scalable ETL patterns for general business consumption.
  • Apply data governance and master data management across projects.
  • Partner with global teams to understand problems and design scalable solutions.
  • Identify data sources and devise efficient cleaning and transformation strategies.

Skills

SSIS
SQL
SSRS
GitHub
Agile
NoSQL
Stored procedures
English communication
Stakeholder management
Data warehousing

Education

BE in Data Science/Engineering/Math/Stats
Masters/Advanced degree in Data Science/Engineering/Math/Stats

Tools

PostgreSQL
MySQL
SQL Server
MongoDB
Cassandra

Job description

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

Location: IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

Position Role Type

Onsite

What You Will Do
  • Collaborate with cross-functional teams to understand data requirements and design data pipelines to ingest, process, and transform data from various sources.
  • Develop, optimize, and maintain ELT (Extract, Load, Transform) processes to ensure efficient data extraction and loading.
  • Implement data quality checks and monitoring mechanisms to ensure data accuracy, quality, and consistency.
  • Develop ETL pipelines for general business consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.
  • Implement data governance and master data management principles across specific project execution.
  • Collaborate with global business teams to understand the problems and design scalable solutions.
  • Identify and understand the necessary data sources for projects and efficient ways to clean and transform it.
  • Work with Global Technology to ensure that solutions are up to current standards and best practices.
What You Will Learn

Stay up-to-date on the latest technologies and build new skills in data engineering, technologies and platforms.

Qualifications You Must Have
  • B.E in Data Science, Engineering, Mathematics, Statistics with 7+ years prior relevant engineering experience OR Masters/ advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 5+ years prior relevant engineering experience.
  • 5+ years of Hands-on experience with data warehousing technologies and ETL tools (SSIS, SQL,SSRS).
  • Strong understanding on GitHub
  • Strong understanding of Agile methodology
  • Strong database knowledge, along with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra).
  • Hands on experience in creating database objects like Stored procedures, function etc.
  • Outstanding written and verbal communication skills in English.
  • Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders. Demonstrated experience in fostering collaboration and driving alignment across various teams.
  • Self-starter with high level of intellectual curiosity.
  • Strong analytical and hardworking problem-solving mindset
Qualifications We Prefer
  • Experience in Aerospace & Defense Processes from Design to Manufacturing to After Sales & Support
  • Broad understanding of gas turbine engine fundamentals and associated components.
  • Knowledge and experience in Data Governance, Architecture and Platforms
  • Strong learner who is comfortable learning new libraries and frameworks
  • Experience working in an agile environment.
What We Offer
  • Daycare for young children
  • Advancement programs to enhance education skills
  • Flexible work schedules
  • Leadership and training programs
  • Comprehensive benefits, savings, and pension plans
  • Financial support for parental leave
  • Reward programs for outstanding work
Role type

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Employment Type

Full-time

Video Links

Pratt & Whitney - YouTube

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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