Chennai, Tamil Nadu
Actively hiring, first seen by us todayEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Visa sponsorship is NOT available with this position
you will design and build scalable data platforms, pipelines, and cloud solutions that power global pricing decisions.
Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
Job Summary We are seeking a skilled Senior Data Engineer (Senior Data Scientist) to join our Pricing Analytics – Enterprise Strategy - Global Financial Division Team. you will design and build scalable data platforms, pipelines, and cloud solutions that power global pricing decisions. You will solve complex data challenges, lead technical design, and transform diverse data sources into trusted data products. Working with data scientists, analysts, engineers, and business stakeholders, you will help establish engineering standards and shape the future of data and AI-driven pricing. The preference for this role is to be based out of Brigade World Trade Center Office, Chennai, India
What You Will Do: Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 7 and day 57.
At Caterpillar, jobs usually come down by about day 12.
From 10,815 similar postings that came down, and 196 of Caterpillar’s. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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Top Candidates Will Have: - Extensive experience in designing and developing software applications in Python. - Experience with AI assisted software development (ex. Github Copilot, Cursor, Codex, etc)
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: • Approaches a situation or problem by defining the problem or issue and determining its significance. • Makes a systematic comparison of two or more alternative solutions. • Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. • Identifies the major forces, events and people impacting and impacted by the situation at hand. • Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: • Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization. • Utilizes specific tools and techniques to process descriptive and inferential statistics. • Applies specific computing languages and tools in machine learning, such as R and Python. • Explores to use machine learning in one own areas to make business improvements. • Conducts data mining and cleaning initiatives. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge: • Participates in the implementation and support of specialized programming languages. • Conducts basic reviews on writing a specific programming language within a specific platform. • Assists with the design and development of specialized programming languages. • Follows an organization's standards, policies and guidelines for structured programming specifications. • Diagnoses and reports minor or routine programming language problems.
- Extensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc. - Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS - Experience with databases such as PostgreSQL, Snowflake, Oracle, etc.
- Extensive experience working with Git version control - Extensive experience deploying software using CI/CD tools such as Github Actions, Azure Devops etc. - Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS
- Experience with AWS components such as Bedrock, Lambda, Fargate, S3, Sagemaker, IAM and RDS - Experience with databases such as PostgreSQL, Snowflake, Oracle, etc. - Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
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New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Career Area:
Technology, Digital and DataJob Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Description
Your Impact Shapes the World at Caterpillar Inc
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary
We are seeking a skilled Senior Data Engineer (Senior Data Scientist) to join our Pricing Analytics – Enterprise Strategy - Global Financial Division Team. you will design and build scalable data platforms, pipelines, and cloud solutions that power global pricing decisions. You will solve complex data challenges, lead technical design, and transform diverse data sources into trusted data products. Working with data scientists, analysts, engineers, and business stakeholders, you will help establish engineering standards and shape the future of data and AI-driven pricing.
The preference for this role is to be based out of Brigade World Trade Center Office, Chennai, India
What You Will Do:
What You Will Have:
· Data Pipeline Development: Ability to design, build, and optimize scalable batch and real-time data pipelines that deliver trusted, high-quality data for analytics, reporting, and AI applications.
· Cloud Data Engineering: Experience with cloud-based data platforms, storage, and processing technologies; ability to develop resilient, scalable, and secure data solutions.
· Data Modeling & Integration: Knowledge of data modeling, transformation, and integration techniques; ability to consolidate diverse data sources into well-governed, consumable data products.
· Data Observability & Quality: Experience implementing data quality frameworks, monitoring, testing, and automated validation to ensure reliable and trusted data assets.
· Collaboration & Business Impact: Ability to partner with cross-functional teams to understand business needs and deliver data solutions that support pricing decisions, analytics, automation, and AI-enabled outcomes.
Top Candidates Will Have:
Additional Details:
Skills desired:
Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Level Working Knowledge:
• Explains the basic decision process associated with specific statistics.
• Works with basic statistical functions on a spreadsheet or a calculator.
• Explains reasons for common statistical errors, misinterpretations, and misrepresentations.
• Describes characteristics of sample size, normal distributions, and standard deviation.
• Generates and interprets basic statistical data.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Extensive Experience:
• Evaluates and makes contributions to best practices.
• Processes large quantities of detailed information with high levels of accuracy.
• Productively balances speed and accuracy.
• Employs techniques for motivating personnel to meet or exceed accuracy goals.
• Implements a variety of cross-checking approaches and mechanisms.
• Demonstrates expertise in quality assurance tools, techniques, and standards.
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Working Knowledge:
• Approaches a situation or problem by defining the problem or issue and determining its significance.
• Makes a systematic comparison of two or more alternative solutions.
• Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.
• Identifies the major forces, events and people impacting and impacted by the situation at hand.
• Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Working Knowledge:
• Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
• Utilizes specific tools and techniques to process descriptive and inferential statistics.
• Applies specific computing languages and tools in machine learning, such as R and Python.
• Explores to use machine learning in one own areas to make business improvements.
• Conducts data mining and cleaning initiatives.
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Working Knowledge:
• Participates in the implementation and support of specialized programming languages.
• Conducts basic reviews on writing a specific programming language within a specific platform.
• Assists with the design and development of specialized programming languages.
• Follows an organization's standards, policies and guidelines for structured programming specifications.
• Diagnoses and reports minor or routine programming language problems.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Level Working Knowledge:
• Defines, creates and tests simple queries by using associated command language in a specific environment.
• Applies appropriate query tools used to connect to the data warehouse.
• Obtains and analyzes query access path information and query results.
• Employs tested query statements to retrieve, insert, update and delete information.
• Works with advanced features and functions including sorting, filtering and making simple calculations.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Level Working Knowledge:
• Follows policies, practices and standards for determining functional and informational requirements.
• Confirms deliverables associated with requirements analysis.
• Communicates with customers and users to elicit and gather client requirements.
• Participates in the preparation of detailed documentation and requirements.
• Utilizes specific organizational methods, tools and techniques for requirements analysis.
What you will get:
Holistic Development
Health and Wellness
Financial Wellness
Additional Information:
Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers
Caterpillar is an Equal Opportunity Employer (EEO)
EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply.
Posting Dates:
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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Chennai, Tamil Nadu
Working pattern and location restrictions need checking in the full posting.
- Relocation assistance is available for this position - Visa sponsorship is NOT available with this position Skills desired:
Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Caterpillar is an Equal Opportunity Employer (EEO)