Senior Analyst - Data Science & Analytics

Pratt & Whitney

Bengaluru

Hybrid

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

Full time

10 days ago

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Benefits offered by this job

Daycare for young children

Advancement programs to enhance skills

Flexible work schedules

Leadership and training programs

Comprehensive benefits, savings, andp;

Parental leave support

Job summary

Pratt & Whitney in Bengaluru, India, seeks a data engineer to design and implement robust data pipelines, ELT processes, and data quality checks across cloud environments. The role emphasizes scalable ETL/ELT workflows, governance, and collaboration with cross-functional teams.

You will contribute to building data solutions and staying current with Unity catalog and CICD practices, while leveraging modern data warehousing technologies to support business needs.

Qualifications

BE in Data Science/Engineering with 9+ years of relevant experience or advanced degree with 5+ years
2+ years as a Data Engineer designing and implementing data solutions
Hands-on with data warehousing technologies and ETL tools like Fivetran, SSIS, AWS Glue, Qlik Replicate

Responsibilities

Design data pipelines to ingest, process, and transform data from multiple sources
Develop, optimize, and maintain ELT processes for efficient data extraction and loading
Implement data quality checks and monitoring for accuracy and consistency
Build ETL pipelines in cloud environments for scalable, repeatable data work
Apply data governance and MDM across projects
Collaborate with global teams to design scalable data solutions
Identify data sources and cleaning/transformation strategies
Align solutions with Unity catalog and CICD best practices
Stay current with new data engineering technologies and platforms

Skills

Data Engineering

Python

PySpark

Databricks

SQL

NoSQL

ETL/ELT

GitHub

Agile

Data Warehousing

Education

BE in Data Science/Engineering

Advanced Degree (DS/Eng/Math/Stats)

Tools

Fivetran

SSIS

AWS Glue

Qlik Replicate

Job description

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

Date Posted: 2026-08-14

Country: India

Position Role Type: Hybrid

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.

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 in cloud environment for general business consumption, establishing patterns for repeatable, scalable ETL/ELT 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.
Stay up-to-date on the latest technologies and build new skills in data engineering, technologies and platforms.
Familiar with Unity catalog and CICD pipeline.

Qualifications You Must Have

B.E in Data Science, Engineering, Mathematics, Statistics with 9+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 5+ years prior relevant engineering experience.
2+ years of experience working as a Data Engineer, with a strong track record of designing and implementing data solutions.
Hands-on experience with data warehousing technologies and ETL tools (e.g. Fivetran, SSIS, AWS Glue, Qlik Replicate).
Hands on experience with Python, Pyspark and databricks
Strong understanding on GitHub
Strong understanding of Agile methodology
Strong database knowledge, in SQL and NoSQL databases (e.g., PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra).
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

Please ensure the role type (defined below) is appropriate for your needs before applying to this role.

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