1,338 Data Transformation jobs in India
Data Transformation Specialist
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Job Summary:
We are seeking an experienced Data Transformation Specialist to join our team. The ideal candidate will have a strong background in interpreting and transforming risk data, with expertise in Microsoft 365 tools, Python scripting, and SQL databases.
About the Role:
The primary responsibilities of this position include:
- Translating technical data into business-relevant insights
- Collaborating with subject matter experts to validate transformation logic and assumptions
- Ensuring contextual alignment between source and target data structures
Key Requirements:
To succeed in this role, you will need:
- A strong understanding of regulatory and quality implications of risk documentation
- Proficiency in Microsoft 365 tools, including Excel, Word, and SharePoint
- Experience with macros and Python scripting
- Familiarity with SQL databases and the Windchill Platform (WRR module)
What We Offer:
We offer a dynamic work environment and opportunities for growth and development. If you are a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity.
Data Transformation Expert
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We are seeking a highly skilled professional to lead our data transformation initiatives. The ideal candidate will have expertise in designing and implementing data integration solutions, as well as experience with data science and change management.
Data Transformation Specialist
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About the Role:
We are seeking an expert in data transformation, science, and management to help our clients achieve business excellence.
Key Deliverables: To build a centralized data mart for accessing data insights and modeling.
Skillsets Required :
Data Modeling
Data Visualization
SQL Development
AWS Management
Data Analysis
Data Engineering
Collaboration and Communication
Mandate Experience –
RDS
DynamoDB
Redshift
Athena
QuickSight
Sagemaker
Benefits of Joining Our Team:- Opportunity to work with cutting-edge technologies
- Collaborative and dynamic work environment
- Professional growth and development
- Competitive compensation and benefits package
Data Transformation Specialist
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Job Role: Data Transformation Specialist
- Responsible for interpreting and transforming source risk files (HA, xFMEA, UTAs) into WRR-importable formats.
- Maintains contextual alignment between source and target data structures.
Key Responsibilities:
- Collaborate with SMEs to validate transformation logic and assumptions.
- Translate technical data into business-relevant insights.
Required Expertise:
- Familiarity with regulatory implications of risk documentation.
- Proficiency in Microsoft 365 tools (Excel, Word, SharePoint), macros, Python scripting, and SQL databases.
- Experience with Windchill Platform (WRR module).
We are seeking a skilled professional to support our team in this role.
Data Transformation Specialist
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We are seeking a skilled professional to join our team in the role of Data Transformation Specialist . The primary responsibility of this position is to interpret and transform source risk files (HA, xFMEA, UTAs) per MDCP into WRR-importable formats.
The ideal candidate will have strong business acumen to understand the purpose and implications of risk data, as well as proficiency in Microsoft 365 tools (Excel, Word, SharePoint), macros and Python scripting, and SQL databases. Familiarity with regulatory and quality implications of risk documentation is also highly desirable.
Data Transformation Expert
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Job Summary:
We are seeking a skilled Transformation Resources Specialist to join our team.
The successful candidate will be responsible for interpreting and transforming source risk files into WRR-importable formats, ensuring contextual alignment between source and target data structures, and collaborating with MDCP SMEs to validate transformation logic and assumptions.
Data Transformation Architect
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Talworx is an emerging recruitment consulting and service firm, we are hiring for our client which provides governments, businesses, and individuals with market data, expertise, and technology solutions for confident decision-making. Our services span from global energy solutions to sustainable finance solutions. From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains, our solutions help unlock new opportunities and solve challenges.
Location: Hybrid work from office from nearest client branch, Preferrably from Hyderabad, Bangalore, Gurgaon.
The Team: You will be part of a rapidly growing organization, joining the team of highly motivated and professional Data Scientists and Machine Learning Engineers within Market Intelligence division. Market Intelligence provides financial and industry data, research, news and analytics to investment professionals, government agencies, corporations, and universities worldwide. We integrate news, comprehensive market and sector-specific data and analytics into a variety of tools to help clients track performance, generate alpha, identify investment ideas, understand competitive and industry dynamics, perform valuations, and assess credit risk.
The Impact: We are looking for candidates that are passionate to architect, build, scale and deploy Machine Learning Models and their associated Software Technology components that provide timely and essential intelligence to our disparate array of customers across the globe.
What’s in it for you: We provide a highly inclusive work environment where in you can bring your whole self to work to assist us in achieving its mission of being one of the leading providers of the highest quality risk evaluations and analytical information to the world’s financial markets. As an integral part of our team, you will be working on cutting edge state-of-the-art technology stack. In this role, you will work on multiple data science projects in collaboration with internal and external project owners on the product, commercial, and data team. You will be responsible for providing machine learning engineers support, create data pipeline for modeling, scale models, develop APIs to help move machine learning models in production. You will collaborate with the data scientists and production-oriented software engineers
.
Responsibilities Responsibilities:
- Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction
- Architect technology components and build applications and interfaces for customer's consumption
- Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact.
- Develop hosting platform for machine learning models.
- Create pipelines to query and retrieve and update data for existing applications to keep them updated
- Supervise the scaling and management of the machine learning modeling ecosystem
- Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning
What We’re Looking For:
- Extensive problem-solving ability in designing complex data and cloud architectures,
- Must possess strong hands on experience with Spark, AWS , Bigdata (Hadoop), Python and pyspark
- Possess excellent verbal & written communication skills
- Expertise in application, data, and infrastructure architecture disciplines
- Advanced knowledge of architecture and design across all systems
- Proficiency in multiple machine learning programming languages including Python, PySpark, or Scala
- 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc
- Able to understand various data structures and common methods in data transformation
- Knowledge of industry-wide technology trends and best practices
- Ability to work in large, collaborative teams to achieve organizational goals
- Passionate about building an innovative culture
- Familiarity with MLOps and ModelOps
- Docker, Kubernetes, AWS, Python
- Familiarity with or clear interest in learning about financial Markets.
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Data Transformation Analyst I
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**Grade Level (for internal use):**
07
**The Team:**
S&P Global Mobility is seeking someone who is self-motivated, passionate about data and automobiles and a willingness to work with a geographically dispersed Operations team. The North American VIN team, part of the Global Data Operations (GDO) team, is responsible for research, analysis, and maintaining over 200 vehicle attributes in the North American market. Our team serves as the first source of truth for data, integrating into multiple S&P Global products. We value collaboration and maintain excellent relationships with OEMs worldwide, striving to provide actionable intelligence to our customers.
**Responsibilities and Impact:**
As member of our team you will get an opportunity to work on various data tools and applications. The team member will be responsible for:
+ **Research, Process, and Maintain Vehicle Data** : Conduct thorough research and capture, validate & manage data related to over 200 vehicle attributes in the North American market.
+ **Data Transformation** : Run SQL queries to extract data and transform results into Excel files for analysis and coding into our tools and applications.
+ **Client Queries and Case Investigation** : Investigate client queries and Salesforce cases, identify discrepancies in existing coded data, and provide findings to vertical leads.
+ **Provide Actionable Intelligence** : Strive to deliver actionable insights to customers, enhancing the value of S&P Global products.
+ **Identify Process Improvements:** Identify process improvements within products and work to automate existing processes.
+ **Gen AI innovation:** Working on Gen AI ideas and S&P Global internal Gen AI tool (Spark) to make the existing process more efficient.
**What We're Looking for:**
**Required Qualifications:**
+ **Educational Background** : B.Tech (Mechanical with specialization in Automobile Engineering preferred) or any other similar Bachelor/Master degrees.
+ **Experience:** 1-3 years of experience in data management.
+ **Technical Skills** : Strong knowledge of MS Excel, Word, and PowerPoint.
+ **Scripting and Database Knowledge** : Proficiency in scripting languages such as Python & SQL/PLSQL, along with a solid understanding of relational databases.
+ **Attention to Detail** : High attention to detail and accuracy in data management tasks.
+ **Course Knowledge** : Familiarity with Data Management & Operations, analytics and business intelligence.
+ **Problem-Solving Skills** : Strong analytical thought process and a drive for learning.
+ **Communication Skills** : Strong written and verbal communication skills.
+ **Team Collaboration** : Ability to work effectively with a geographically dispersed Operations team.
**Preferred Qualifications:**
+ SQL, Python and Gen AI expert
+ Automobile sector background
**About S&P Global Mobility**
At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow.
For more information, visit .
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
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**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:? ?and your request will be forwarded to the appropriate person?
**US Candidates Only:** The EEO is the Law Poster ? describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 317836
**Posted On:** 2025-07-16
**Location:** Gurgaon, Haryana, India
Risk Data Transformation Specialist
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Are you an experienced risk data expert looking for a challenging role? As a Transformation Resources professional, you will be responsible for interpreting and transforming source risk files per MDCP into WRR-importable formats.
- Ensure contextual alignment between source and target data structures to guarantee seamless integration of our systems.
- Collaborate with subject matter experts to validate transformation logic and assumptions.
To succeed in this position, you will need:
- A strong business acumen to understand the purpose and implications of risk data, enabling you to make informed decisions.
- Proficiency in Microsoft 365 tools (Excel, Word, SharePoint), as well as macros and Python scripting, SQL databases, and Windchill Platform (WRR module).
We are looking for individuals who can:
- Translate complex technical data into actionable business insights.
- Demonstrate a clear understanding of regulatory and quality implications of risk documentation.
Team Lead - Data Transformation and Management

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**Key Responsibilities**
+ Develop and maintain supply chain analytics to monitor operational performance and trends.
+ Lead and participate in Six Sigma and supply chain improvement initiatives.
+ Ensure data integrity and consistency across all analytics and reporting platforms.
+ Design and implement reporting solutions for key supply chain KPIs.
+ Analyze KPIs to identify improvement opportunities and develop actionable insights.
+ Build and maintain repeatable, scalable analytics using business systems and BI tools.
+ Conduct scenario modeling and internal/external benchmarking.
+ Provide financial analysis to support supply chain decisions.
+ Collaborate with global stakeholders to understand requirements and deliver impactful solutions.
**RESPONSIBILITIES**
**Qualifications**
+ Bachelor's degree in Engineering, Computer Science, Supply Chain, or a related field.
+ Relevant certifications in BI tools, Agile methodologies, or cloud platforms are a plus.
+ This position may require licensing for compliance with export controls or sanctions regulations.
**QUALIFICATIONS**
**Experience**
+ 8-10 years of total experience, with at least 6 years in a relevant analytics or supply chain role.
+ Proven experience in leading small teams and managing cross-functional projects.
**Technical Skills**
+ **Expertise in** : SQL, SQL Server, SSIS, SSAS, Power BI.
+ **Advanced DAX** development for complex reporting needs.
+ **Performance optimization** for SQL and SSAS environments.
+ **Cloud and Data Engineering** : Azure Synapse, Azure Data Factory (ADF), Python, Snowflake
+ **Agile methodology** : Experience working in Agile teams and sprints.
**Job** Supply Chain Planning
**Organization** Cummins Inc.
**Role Category** Hybrid
**Job Type** Exempt - Experienced
**ReqID** 2415717
**Relocation Package** No