181 Data Manipulation jobs in Bengaluru
Senior Data Transformation Analyst
Posted 11 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 7 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 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 17 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 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
Data Management Lead
Posted 5 days ago
Job Viewed
Job Description
**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Be The First To Know
About the latest Data manipulation Jobs in Bengaluru !
Data Management Lead
Posted 11 days ago
Job Viewed
Job Description
**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Master Data Management
Posted 7 days ago
Job Viewed
Job Description
DGO/Master Data Steward/Master Data Management
Work Location: Manyata Tech Park, Bangalore
Shift Timing: Rotational Shifts
Exp: 1 to 5 yrs
SAP Exp is a must
Job Description:
· Create and maintain master data attributes for customers, suppliers, parts, solutions, and items.
· Work as part of the Master Data Governance team to recommended changes to improve process efficiencies, ensuring timely and professionally communication to users, management, and senior leadership with repetitive issues
· Interface with cross-functional teams to validate adherence to master data policies and correct non-adherence where appropriate
· Perform validation and corrections via audit reports to ensure standardization daily
· Application of best business practices for mass data updates as appropriate
· Serve as a subject matter expert (SME) in the DGO operations
· Develop standard procedures, user guides and other necessary training and job aid materials, along with provide training as needed
· Utilize analytical skills to identify trends
· Performs other duties as assigned based on business needs.
· Becomes a Change Ambassador, promoting and ensuring adoption of new processes or implementations across Black Box.
· Ensure that only approved and valid changes are allowed into a production environment
Education/Experience Requirements
· Bachelor’s Degree in related fields or related experience, preferred
· 3 years relevant experience in data management and analysis or other related fields
· Prefer knowledge of SAP Item Master Data Management
· Experience with computer system validation and validated testing is a plus
· Experience in working with an ERP Master Data Add, Changes, Deletes
Interested individuals can share resume to
Please fill below details:
Total exp:
Rel exp in Master Data Management:
Rel exp in SAP:
Current CTC:
Expected CTC:
Current Location:
Notice Period: