R

RTX

Manufactures jet engines, avionics, missiles

Senior Lead Engineer - Data Analytics

Data EngineeringUpdated on Nov 13
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Strong proficiency in SQL and Python for data processing and analytics engineering.
  • Experience with modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
  • Expertise in building data pipelines using tools such as Airflow, dbt, Azure Data Factory, or similar orchestration frameworks.
  • Solid understanding of data warehousing, dimensional modeling, and schema design.
  • Experience with cloud ecosystems such as Azure, AWS, or GCP and scalable distributed systems.
  • Familiarity with CI/CD workflows, version control, and automated testing in data environments.
  • Ability to analyze complex problems, identify root causes, and develop effective solutions.
  • Ability to lead complex projects and deliver high-quality technical outcomes.

Responsibilities

  • Design and develop robust data pipelines and ETL/ELT workflows to support analytics and reporting.
  • Build and optimize data models, data marts, and analytical datasets for high-performance consumption.
  • Maintain and improve data infrastructure, ensuring scalability, reliability, and cost efficiency.
  • Partner with analytics teams to translate business requirements into technical data solutions.
  • Implement best practices for data quality, metadata management, lineage, governance, and validation.
  • Develop and manage automated monitoring and alerting for data systems.
  • Collaborate on the selection and integration of data technologies and tools.
  • Drive improvements in data architecture, including cloud modernization, performance tuning, and automation.
  • Contribute to coding standards, documentation, and engineering practices within the data ecosystem.
  • Mentor junior engineers and support cross-functional technical development.

Desired Qualifications

  • Experience with machine learning feature engineering or supporting machine learning pipelines.
  • Knowledge of streaming data frameworks such as Kafka or Kinesis.
  • Background in dashboard and business intelligence tool integration, including Power BI, Tableau, or Looker.
  • Exposure to data governance, privacy, and compliance frameworks.
  • Prior experience mentoring or leading technical teams.

About the Company

RTX

Manufactures jet engines, avionics, missiles

RTX operates in aerospace and defense with three main units: Pratt & Whitney jet engines, Collins Aerospace avionics and flight systems, and Raytheon defense systems. Jet engines provide thrust for commercial and military aircraft, avionics manage cockpit controls and navigation, and Raytheon builds missiles, radar, and sensing platforms. It differentiates itself by offering an integrated, end-to-end portfolio across both commercial aviation and national defense under one corporate roof, built on the legacy of Raytheon and UTC. Its goal is to help customers fly more efficiently and protect nations by advancing propulsion, electronics and defense tech for civilian and security needs.

Company size
10,001+
Company stage
IPO
Headquarters
Arlington County, VA
Founded
2022

Recently Posted Jobs

Explore more opportunities at RTX

See more jobs