Senior Analyst - Data Science & Analytics

RTX
India
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Collaboration","Communication","Stakeholder management","Problem-solving","Self-starter"]

Design and deliver data pipelines that ingest, process, and transform information from multiple sources. Build and optimize ELT/ETL processes for cloud-based, repeatable workflows, including data quality checks, monitoring, and governance/master data management. Partner with global business teams and technology to identify data sources, clean and transform data efficiently, and implement solutions using modern data engineering practices, including Unity Catalog and CI/CD pipelines.

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FursaFursa
RTX
RTX
7 hours ago

Senior Analyst - Data Science & Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and deliver data pipelines that ingest, process, and transform information from multiple sources. Build and optimize ELT/ETL processes for cloud-based, repeatable workflows, including data quality checks, monitoring, and governance/master data management. Partner with global business teams and technology to identify data sources, clean and transform data efficiently, and implement solutions using modern data engineering practices, including Unity Catalog and CI/CD pipelines.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Collaborate with cross-functional teams to understand data requirements and design pipelines to ingest, process, and transform data from multiple sources.
  • •Develop, optimize, and maintain ELT 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 a cloud environment to create reusable, scalable ETL/ELT patterns for business consumption.
  • •Implement data governance and master data management principles and collaborate with global teams and technology to align with standards and best practices.

Pay and Benefits

Perks:ChildcarePensionParental Leave

Key Requirements

  • •B.E. in Data Science/Engineering/Math/Statistics with 9+ years relevant experience, or an advanced degree with 5+ years relevant engineering experience.
  • •2+ years of experience as a Data Engineer with a 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 database and data-engineering fundamentals, including SQL and NoSQL (e.g., PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra), plus GitHub and Agile methodology.
Experience:5+ yearsAerospace & defenseData engineering
Education:
Skills:CollaborationCommunicationStakeholder managementProblem-solvingSelf-starter
Languages:English
Tech Stack:ELTETLUnity catalogCI/CDFivetranSSISAWS GlueQlik ReplicatePythonPySparkDatabricksGitHubAgileSQLPostgreSQLMySQLSQL ServerMongoDBCassandra

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website