311 Database Management jobs in India

Roles and Responsibilities

Responsible for defining Policies, Process for maintenance of Master Data to be processed in Various Data Domains.

Complete understanding of Master Data Life Cycle.

Responsible for Creation, Manage, Optimize, and maintain Master data.

Responsible for Configuring and Maintaining Configuration related to GL, AP, AR, FA, CM, and Procurement.

Responsible for Configure, Manage, and maintain Workflows.

Responsible for Optimize flow of data between Users and Cross Stakeholders

Responsible for Creation, Manage and Optimize flow of Master data between different Applications.

Take initiatives for improving Data management process.

Responsible for Period Closure activities

Responsible for ERP (Oracle Fusion) Updates and Enhancements

Knowledge on ERP Audit documentation and System Audit Trails

Responsible to submit MIS to the management as per the requirement of management.

Ensure that the company complies with all legal and regulatory requirements.

Ensure that record keeping meets the requirements of auditors and government agencies.

Coordinate in case of periodic visits done by auditor’s and provide them with necessary information.

Assisting in providing of documentation as necessary for completion of the timely audit.

Maintain all audit reports and ensure they remain confidential.

Other duties may be assigned by the management on time to time.

Data Modeling - CREQ193218 Description GDT WPB DF Data Expert JD:

Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.

Primary Location Hyderabad, Andhra Pradesh, India Job Type Experienced Primary Skills Data Modelling for Analytical (OLAP) Years of Experience 6 Qualification

GDT WPB DF Data Expert JD:

Mandatory Skills
Strong Data Analysis and/or Data Modeling experience of 8-12 years.
Strong financial domain and data analysis skills with experience covering activities like requirement gathering, elicitation skills, gap analysis, data analysis, effort estimation, reviews, ability to translate the high-level functional data or business requirements into technical solution, database designing and data mapping.
Comprehensive understanding of the Data Modeling conceptual, logical, and physical, create and deliver high-quality data models, by following agreed data governance and standards.Maintain quality metadata and data related artefacts which should be accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
Should be an individual contributor with good understanding of the SDLC & Agile methodologies.
A team player with self-starter approach, having a sense of ownership, should be a problem solver with solution-seeking approach and an ability to work in fast paced and continuously changing environment.
Excellent communication & stakeholder management skills and should be capable of building rapport and relationships.
Act as a liaison between business and technical teams to bridge any gaps and assist the business teams & technical teams to successfully deliver the projects.
Other Skills and Tools SQL, MS Office tools, GCP Big Query, Erwin, Visual Paradigm preferable.
Responsibilities
Support the delivery of complex transformation program development within data portfolio.
Work within agile multi-skilled teams to create world class products to serve our customers needs.
Perform the elicitation and analysis of business change, functional and non functional requirements across a range of stakeholders, work with cross asset IT teams to interface those requirements and finally deliver a working reconciliation solution.
Own and produce relevant analysis and modeling artefacts that enable development teams to develop working products.
Understand the user journey end to end which goes beyond the system.
Provide advanced business knowledge and technical support for requirements development.
Create/enhance logical and physical data models by adhering to the agreed standards, to fulfil both business as well as technical requirements and expectations.
Undertake the metadata analysis which includes but not limited to naming of the logical entity and attributes and physical table and columns, definitions and appropriate data type and length etc.
Create and maintain the data models.

Travel No

**_Job title: Data Modelling Manager_**
**_Location: Hyderabad_**
**_About the job_**
Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients' daily life, wherever they live and enabling them to enjoy a healthier life.
As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health.
The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable).
**_Position Summary:_**
The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability.
**_Main responsibilities:_**
+ Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D)
+ Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives
+ Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models
+ Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions
+ Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company's environment
+ Understand data governance policies, standards and procedures for R&D data
+ Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements
+ Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation
+ Evaluate and influence projects while serving as "voice-of-business"; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state
+ Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations
+ Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions
+ Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.
**_Deliverables_**
+ Conduct requirements gathering from business analysts, data scientists, and other stakeholders
+ Formulate strategies, and query optimizations to enhance data retrieval speed
+ Develop complex and scalable data models aligned to organization's long term strategic goals
+ Formulate data governance frameworks, policies, and standards
+ Establish best practices for data modeling ensuring interoperability among systems, applications & data sources
**_About you_**
+ Experience in Data Modelling, business data management, information architecture, technology or other related field
+ Demonstrated ability to understand end-to-end data use and business needs
+ Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc)
+ Experience with creating and applying data modelling best practices and naming conventions
+ Strong analytical problem-solving skills
+ Demonstrated strong attention to detail, quality, time management and customer focus
+ Excellent written and oral communications skills
+ Strong networking, influencing and negotiating skills and superior problem-solving skills
+ Demonstrated willingness to make decisions and to take responsibility for such
+ Excellent interpersonal skills (team player)
+ Experience with data management practices and technologies (e.g., Collibra, Informatica etc)
+ Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity
+ Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required, Experience in big data infrastructures (E.g., Hadoop, NOSQL etc)
+ Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements, Experience managing technology and/or data warehouse projects
+ Familiarity with relationship databases and entity-relationship data modelling, Experience with hierarchical data models from conceptualization to database optimization
+ **Education** : Bachelor's in computer science, Engineering, Mathematics, Statistics, or related; Masters preferred
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (

Job Summary:

We are seeking a skilled Data Engineer with expertise in Data Modeling, SQL, Snowflake, Python, AWS, and NoSQL . The ideal candidate will be responsible for designing and implementing scalable data solutions, ensuring efficient data storage, retrieval, and processing. Experience in NoSQL Data Modeling is a plus.

Key Responsibilities:

Design and implement data models to support analytical and operational workloads.

Develop, optimize, and manage SQL queries for data extraction, transformation, and loading (ETL).

Work extensively with Snowflake to build scalable data pipelines and warehouses.

Develop and maintain Python scripts for data processing and automation.

Implement AWS services for cloud-based data solutions.

Work with NoSQL databases to handle semi-structured and unstructured data.

Ensure data accuracy, consistency, and security across various storage systems.

Collaborate with data scientists, analysts, and software engineers to deliver business insights.

Required Skills:

Strong experience in Data Modeling (Relational & NoSQL).

Proficiency in SQL and experience with database technologies.

Hands-on experience with Snowflake for data warehousing.

Strong programming skills in Python for data processing.

Expertise in AWS cloud services for data infrastructure.

Experience working with NoSQL databases .

Good to Have:

Experience in NoSQL Data Modeling best practices.

Location: Bangalore

Experience: 6-9 Years

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. 

As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. 

The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). 

The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability.

Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) 

Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives

Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models 

Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions

Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment 

Understand data governance policies, standards and procedures for R&D data 

Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements 

Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation 

Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state 

Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations 

Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions 

Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. 

Conduct requirements gathering from business analysts, data scientists, and other stakeholders 

Formulate strategies, and query optimizations to enhance data retrieval speed 

Develop complex and scalable data models aligned to organization’s long term strategic goals 

Formulate data governance frameworks, policies, and standards 

Establish best practices for data modeling ensuring interoperability among systems, applications & data sources 

Experience in Data Modelling, business data management, information architecture, technology or other related field

Demonstrated ability to understand end-to-end data use and business needs

Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) 

Experience with creating and applying data modelling best practices and naming conventions 

Strong analytical problem-solving skills 

Demonstrated strong attention to detail, quality, time management and customer focus 

Excellent written and oral communications skills 

Strong networking, influencing and negotiating skills and superior problem-solving skills 

Demonstrated willingness to make decisions and to take responsibility for such 

Excellent interpersonal skills (team player) 

Experience with data management practices and technologies (e.g., Collibra, Informatica etc) 

Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity 

Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required, Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) 

Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements, Experience managing technology and/or data warehouse projects

Familiarity with relationship databases and entity-relationship data modelling, Experience with hierarchical data models from conceptualization to database optimization 

Education : Bachelor’s in computer science, Engineering, Mathematics, Statistics, or related; Masters preferred 

Pursue , discover

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !

Job Summary

Synechron is seeking a highly experienced Level 3 Support Engineer with deep expertise in Oracle Financials, Oracle E-Business Suite (EBS), Hyperion, and associated tools to serve as a critical escalation point within our support services. The successful candidate will provide advanced technical support, incident resolution, system management, and project assistance for enterprise-level financial systems. This role ensures the stability, performance, and security of vital financial applications, directly contributing to the organization’s operational excellence and compliance objectives.

Software Requirements

Required Software Skills:

Oracle E-Business Suite (including modules like General Ledger, AR, AP, Fixed Assets, Project Accounting)

Oracle Hyperion (HFM, Planning, FCCS, ARCS)

Oracle Database Management (SQL, PL/SQL, RMAN)

Operating systems: UNIX and Linux

Support tools: Diagnostic and monitoring tools specific to Oracle environments

Patch management and deployment tools

Incident and problem management platforms (ServiceNow or equivalent)

Version control systems (GIT preferred)

Backup and recovery utilities

Preferred Software Skills:

Oracle WebLogic Server and Application Server Administration

Oracle Enterprise Manager (OEM)

Cloud integrations (Oracle Cloud, AWS, Azure)

Additional Oracle tools such as Fusion Middleware, SOA Suite

Overall Responsibilities

Serve as the Tier 3 escalation support for complex incidents within Oracle Financials, EBS, Hyperion, and related modules, ensuring timely resolution

Manage, configure, and optimize Oracle EBS and Hyperion environments across Production, UAT, and Development databases and instances

Perform patches, upgrades, and system enhancements, ensuring minimal downtime and disruption

Conduct performance tuning, capacity planning, and system health monitoring for Oracle applications and databases

Support month-end, year-end, and budgeting/forecasting activities in Hyperion

Lead root cause analysis and implement permanent solutions for recurring issues

Maintain detailed documentation of configurations, incidents, and activities for audit purposes

Collaborate with cross-functional teams, including development, infrastructure, and business units, to deliver seamless support and projects

Ensure compliance with organizational security policies and audit requirements

Support disaster recovery planning, testing, and execution

Technical Skills (By Category)

Programming Languages:

Essential: SQL, PL/SQL

Preferred: Shell scripting, Python (for automation)

Databases/Data Management:

Oracle Database (including RAC, Data Guard)

Experience with database backups, restores, and performance tuning

Cloud Technologies:

Basic familiarity with Oracle Cloud Infrastructure or other cloud platforms (preferred)

Frameworks and Libraries:

Oracle middleware components and tools (WebLogic, SOA Suite)

Development Tools and Methodologies:

Oracle Utilities: RMAN, Data Pump, Enterprise Manager

Version control setup and change management practices

ITIL-based incident, problem, and change management processes

Security Protocols:

User access control, audit logging, and adherence to security best practices in finance systems

Experience Requirements

Minimum of 8+ years supporting Oracle Financials, Oracle EBS modules, and Hyperion in enterprise environments

Proven expertise in troubleshooting complex issues across applications, databases, and system layers

Experience managing patches, upgrades, and system performance tuning

Strong understanding of financial modules: General Ledger, AP, AR, Fixed Assets, Project Accounting, FCCS, ARCS

Working knowledge of Unix/Linux scripting and system administration

Prior experience in financial services, manufacturing, or other regulated industries desirable

Relevant Oracle certifications (e.g., OCP, Hyperion certifications) are a plus

Day-to-Day Activities

Resolve escalated technical incidents related to Oracle Financials, EBS, Hyperion, and databases

Conduct system health checks, performance assessments, and capacity planning

Apply patches, upgrades, and fixes in multiple environments (Prod, UAT, Dev)

Lead month-end, year-end processing, and financial close activities in Hyperion

Collaborate with development teams to implement fixes, enhancements, or new workflows

Document activities, configurations, and resolutions accurately for audits and team knowledge sharing

Provide proactive monitoring, identify potential issues, and recommend improvements

Support disaster recovery and business continuity initiatives

Communicate technical issues effectively to stakeholders, managing expectations and providing updates

Qualifications

Bachelor’s degree or higher in Computer Science, Information Technology, or related field

Proven ability to support, troubleshoot, and enhance complex enterprise systems

Relevant Oracle certifications are preferred

Strong understanding of Oracle architecture, system administration, and database management

Professional Competencies

Strong analytical and problem-solving skills for complex system issues

Effective communication skills with the ability to convey technical concepts clearly

Ability to work collaboratively within a team and with cross-functional stakeholders

Adaptability to rapidly changing priorities and technical environments

Attention to detail and process adherence

Ability to manage multiple tasks efficiently and meet deadlines

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.