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Caterpillar

Makes heavy machinery, engines and gas turbines

Lead Data Scientist - Pricing Analytics – Enterprise Strategy – Global Financial Division

Data EngineeringPosted on Nov 9
Full-timeChennai, Tamil Nadu, India

About the Job

Requirements

  • Experience leading technical teams, projects, or major engineering initiatives.
  • Extensive experience designing and building scalable production data platforms and pipelines.
  • Strong Python development skills and modern software engineering practices.
  • Experience architecting scalable, secure, and resilient cloud solutions.
  • Ability to mentor engineers, provide technical guidance, and grow team capabilities.
  • Ability to influence stakeholders, navigate ambiguity, and translate business problems into technical solutions.
  • Experience designing and developing software applications in Python.
  • Experience with AI-assisted software development tools such as GitHub Copilot, Cursor, or Codex.
  • Extensive experience with Git version control.
  • Extensive experience deploying software using CI/CD tools such as GitHub Actions or Azure DevOps.
  • Experience with AWS components including Bedrock, Lambda, Fargate, S3, SageMaker, IAM, and RDS.
  • Experience with databases such as PostgreSQL, Snowflake, or Oracle.
  • Experience with architecture and leading teams.
  • Ability to work a five-day-per-week schedule in the office.
  • Ability to work the EMEA shift, 1:00 PM–10:00 PM IST.
  • Ability to work in Chennai, India.
  • Knowledge of business statistics, including interpreting statistical data and recognizing sample-size, normal-distribution, standard-deviation, and statistical-error considerations.
  • Ability to process detailed information accurately, contribute to accuracy best practices, and use quality-assurance tools and cross-checking techniques.
  • Ability to analyze problems systematically, compare alternatives, identify root causes, and use data patterns to reach conclusions.
  • Knowledge of machine-learning principles, technologies, and algorithms, including applying Python or R, conducting data-mining and cleaning work, and developing related systems or services.
  • Ability to use programming languages and tools to write, modify, review, and support code in accordance with programming standards.
  • Ability to use query and database access tools to create and test queries, access data warehouses, analyze query results, and retrieve, insert, update, and delete data.
  • Ability to elicit, analyze, document, and confirm functional and non-functional business requirements.

Responsibilities

  • Lead the architecture, design, and delivery of scalable data platforms, pipelines, and data products.
  • Set technical direction and establish engineering standards for the team.
  • Own delivery of complex data-engineering initiatives from design through production.
  • Balance hands-on development with technical leadership, design reviews, and code reviews.
  • Mentor engineers and develop technical capabilities across the team.
  • Establish best practices for Python, Git, CI/CD, testing, data quality, and observability.
  • Partner with business and technical stakeholders to prioritize work and translate complex requirements into solutions.
  • Identify and resolve technical risks, dependencies, performance issues, and production challenges.
  • Evaluate emerging technologies and drive adoption where they improve engineering effectiveness.

Desired Qualifications

  • Demonstrated learning ability and a proactive approach to staying current with technologies and industry trends.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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