{"id":3515099,"url":"https://alion.io/job/rtx-senior-lead-engineer-2","title":"Senior Lead Engineer","company":{"id":1162,"name":"RTX","domain":"rtx.com","url":"https://alion.io/company/raytheon-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":419,"ghost_share":0,"stale_share":0.747,"repost_share":0.019,"time_to_fill_p50_days":29,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-30T10:02:26Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T09:01:15Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Date Posted:\n2026-10-30\n\nCountry:\nIndia\n\nLocation:\nIN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli\n\nPosition Role Type:\nHybridAt 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.\nCollins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.\nOverview\nThe Senior Data Analytics Engineer is responsible for designing, building, and maintaining scalable data systems, analytics pipelines, and business intelligence solutions. This role combines deep technical expertise with strong analytical skills to transform complex data into reliable, actionable insights. The engineer collaborates with data scientists, analysts, software engineers, and business stakeholders to ensure data quality, optimize performance, and enable advanced analytical outcomes across the organization.\nKey Responsibilities\nDesign and develop robust data pipelines and ETL/ELT workflows to support analytics and reporting.\nBuild and optimize data models, data marts, and analytical datasets for high-performance consumption.\nMaintain and improve data infrastructure, ensuring scalability, reliability, and cost efficiency.\nPartner with analytics teams to translate business requirements into technical data solutions.\nImplement best practices for data quality, metadata management, lineage, governance, and validation.\nDevelop and manage automated monitoring and alerting for data systems.\nCollaborate on the selection and integration of data technologies and tools.\nDrive improvements in data architecture, including cloud modernization, performance tuning, and automation.\nContribute to coding standards, documentation, and engineering practices within the data ecosystem.\nMentor junior engineers and support cross-functional technical development.\nRequired Skills and Qualifications\nStrong proficiency in SQL and Python for data processing and analytics engineering.\nExperience with modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.\nExpertise in building data pipelines using tools such as Airflow, dbt, Azure Data Factory, or similar orchestration frameworks.\nSolid understanding of data warehousing, dimensional modeling, and schema design.\nExperience with cloud ecosystems (Azure, AWS, or GCP) and scalable distributed systems.\nFamiliarity with CI/CD workflows, version control, and automated testing in data environments.\nAbility to analyze complex problems, identify root causes, and develop effective solutions.\nStrong communication skills for working with both technical and non-technical partners.\nProven ability to lead complex projects and deliver high-quality technical outcomes.\nPreferred Qualifications\nExperience with machine learning feature engineering or supporting ML pipelines.\nKnowledge of streaming data frameworks such as Kafka or Kinesis.\nBackground in dashboard and BI tool integration (Power BI, Tableau, Looker).\nExposure to data governance, privacy, and compliance frameworks.\nPrior experience mentoring or leading technical teams.\nWE ARE REDEFINING AEROSPACE.\nSome of our competitive benefits package includes:\nTransportation facility.\nMeal coupons\nGroup Term Life Insurance.\nGroup Health Insurance.\nGroup Personal Accident Insurance.\nEntitled for 18 days of vacation and 12 days of sick leave annually.\nEmployee scholar program\nWork life balance\nCar lease program\nNational Pension Scheme\nLTA\nFuel & Maintenance /Driver wages\nMeal vouchers\nAnd more!\nNothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen.\nAt Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.\nApply now and be part of the team that’s redefining aerospace, every day\nRTX adheres to the principles of equal employment. 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