1,470 Data Manipulation jobs in India
Data Transformation Architect
Posted today
Job Viewed
Job Description
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.
Senior Data Transformation Analyst
Posted 4 days ago
Job Viewed
Job Description
**Grade Level (for internal use):**
09
**Job Summary:**
We are seeking an experienced Oil and Gas Operations Specialist with a minimum of 5+ years in oil and gas operations. The ideal candidate will be well-versed in industry terminology and able to collaborate effectively with both onshore and offshore teams. This role requires a proactive approach to managing operations, ensuring data quality, and providing exceptional client support.
**Key Responsibilities:**
+ Collaborate closely with the manager to understand leadership priorities and align operational plans accordingly.
+ Work with the Data Transformation team to enhance data quality by providing technical oversight on data entered by vendor partners.
+ Develop a strong understanding of Service Level Agreements (SLAs) and metrics, ensuring quality control and operational oversight of vendor operations.
+ Address client issues on a daily basis, providing timely resolutions and participating in client calls.
+ Serve as the subject matter expert (SME) for oil and gas operations, becoming the "Go-To" person for relevant states.
+ Build expertise in S&P Global's internal systems and processes, as well as client-facing products related to US wells and production.
+ Familiarity with SQL and process automation is a plus.
**Qualifications:**
+ Minimum of 5 years of experience in oil and gas operations.
+ Strong understanding of oil and gas terminology.
+ Excellent communication and interpersonal skills.
+ Ability to work collaboratively in a team environment.
+ Background in SQL and process automation is advantageous.
**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 ( .
---
**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), DTMGOP202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 315200
**Posted On:** 2025-08-06
**Location:** Bangalore, Karnataka, India
Senior Engineer - Data transformation
Posted today
Job Viewed
Job Description
Join our global data team as a Senior Data Engineer to shape our data landscape and drive advanced analytics capabilities across the organization.
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members
Senior Engineer - Data transformation
Posted today
Job Viewed
Job Description
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members
Senior Engineer - Data transformation
Posted today
Job Viewed
Job Description
Join our global data team as a Senior Data Engineer to shape our data landscape and drive advanced analytics capabilities across the organization.
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members
Senior Engineer - Data transformation
Posted 10 days ago
Job Viewed
Job Description
Join our global data team as a Senior Data Engineer to shape our data landscape and drive advanced analytics capabilities across the organization.
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members
Senior Engineer - Data transformation
Posted 10 days ago
Job Viewed
Job Description
Join our global data team as a Senior Data Engineer to shape our data landscape and drive advanced analytics capabilities across the organization.
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members
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Senior Engineer - Data transformation
Posted 10 days ago
Job Viewed
Job Description
Join our global data team as a Senior Data Engineer to shape our data landscape and drive advanced analytics capabilities across the organization.
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members
Senior Engineer - Data transformation
Posted 10 days ago
Job Viewed
Job Description
Join our global data team as a Senior Data Engineer to shape our data landscape and drive advanced analytics capabilities across the organization.
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members
Senior Engineer - Data transformation
Posted 10 days ago
Job Viewed
Job Description
Join our global data team as a Senior Data Engineer to shape our data landscape and drive advanced analytics capabilities across the organization.
What You Will Do (Job Responsibilities)
This position will be involved in:
• Establishing our data transformation capability. Create Semantic Data Models as the foundation for self-service enterprise reporting
• Implementing modern data transformation tools (DBT Cloud, Coalesce etc)
• Transformation of raw data into presentation layer EDW structure
• Collaborate & work closely with analysts and stakeholders
• Innovate & adapt new technologies to improve our data infrastructure
• Optimize existing processes for performance and scalability
• Takes ownership of problems and proactively resolves technical problems, ensuring that technical solutions continue to meet business requirements and aligns with the vision, mission, objectives, strategy of the team highly motivated, goal driven, innovative, curious and open minded, Fun to work with, team player
)Educational Requirements :
We are looking for someone with the following experience:
• Qualification in Computer Science or Information Systems, Engineering or related field is preferred
• 5+ years of experience in a data engineering role with a focus on data transformation
• Strong understanding of data modeling, ETL concepts, and data warehouse design principles
• Experience with cloud data platforms (e.g., AWS, GCP, Azure) and their data services. Snowflake experience preferred
• Proven experience with DBT/Coalesce or similar modern data transformation tools, including advanced features for complex data transformation projects. DBT Cloud experience preferred
• Expert level skills in SQL and other Snowflake relevant languages such as Python
• Experience with GIT and CI/CD practices
• Excellent problem-solving skills and attention to detail
• Experience with common modern ingestion tools
• Experience with visualization tools like Power BI or equivalent
• Understanding of typical ERP/CRM system data structures
• Strong communication & collaboration skills, with the ability to work effectively in a remote team environment in an agile environment
• Ability to provide technical leadership experience to junior team members