Senior Analyst - Data Science & Analytics

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

 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.

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.

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