15 Database Management jobs in Hyderabad
Database Management - Emerging Lead
Posted today
Job Viewed
Job Description
Who we are looking for
Looking for seasoned static data professional who will work with FX DBM operations team to create accounts in system for clients to execute foreign exchange trade.
Respond to e-mail inquiries accurately and in a timely manner. Escalate and report issues, including systems related issues to the appropriate groups, track and ensure resolution.
Ensure that all activities are executed correctly and timely, including any appropriate actions are taken to resolve issues.
Why this role is important to us
The team you will be joining is a part of State Street Global Markets (SSGM), We offer two primary methods by which to execute principal foreign exchange (FX) transactions with State Street Global Markets (SSGM): Direct foreign exchange services and indirect foreign exchange services. Clients can benefit from our range of foreign exchange solutions, designed to meet the needs and challenges of their sector. We also provide bespoke solutions for clients with very specific requirements. Join us if making your mark in our FX industry from day one is a challenge you are up for.
What you will be responsible for
As Emerging Lead you will
Account Setup
Standing Settlement Instruction Setup
Misc. Static data maintenance
What we value
These skills will help you succeed in this role:
Education & Preferred Qualifications
Additional requirements:
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
Data Modeling
Posted today
Job Viewed
Job Description
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.
Data Modeling Manager
Posted 3 days ago
Job Viewed
Job Description
**_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 (
Data Modeling Manager
Posted today
Job Viewed
Job Description
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 !
Data Modeling Specialist
Posted today
Job Viewed
Job Description
Insight is looking for a Data Architect to join a large financial institution located in Hyderabad for a 12-month ongoing contract. The candidate will be joining the Corporate Data Cloud Engineering Team and be involved in building and enhancing application data models, specifically conceptual, logical and physical data models, to support their enterprise Master Data Management process and initiative. That said, the candidate will be involved in developing the end-to-end data Lifecycle event flows, mapped to logical model and physical systems. In addition, designing data models for structured and unstructured data across relational and NoSQL databases as well as implementing models in cloud-based platforms/databases. The chosen candidate will also be heavily involved with documentation and the translation of requirements into optimal data structures whilst defining and enforcing data governance policies and standards. The candidate will also ensure compliance, data security and integrity within the data models.
Must haves:
- Experience in Data modeling, specifically creating conceptual, logical and physical data models, and Master Data Management (MDM)
- Hands-on expertise with data modeling tools (e.G., Erwin, Power Designer, ER/Studio).
- Strong proficiency in SQL, NoSQL, and cloud-based databases (Snowflake, Amazon Redshift, Big Query, etc.).
- Experience working in financial services, capital markets, or consulting environments.
- Deep understanding of data governance, metadata management, and regulatory compliance.
- Proficiency with ETL frameworks, APIs, and real-time data integration
- Strong written and verbal communication skills
Plusses:
- Experience as a Data Architect
- Experience with Hackolade
- BE/MS degree in Computer Science, Software Engineering or STEM degree (Desirable).
- TOGAF Certification preferable
- SnowPro certifications represent a plus
- Agile related certifications
Data Modeling Advisor - HIH - Evernorth
Posted 3 days ago
Job Viewed
Job Description
About Evernorth:
Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people.
Data Modeling Advisor
Position Summary:
The Health Services Data Design and Metadata Management team is hiring an Architecture Senior Advisor to work across all projects. The work involves understanding and driving data design best practices, including data modeling, mapping, and analysis, and helping others to apply them across strategic data assets. The data models are wide-ranging and must include the appropriate metadata to support and improve our data intelligence. Data design centers around standard health care data (eligibility, claim, clinical, and provider data) across structured and unstructured data platforms.
Job Description & Responsibilities:
+ Perform data analysis, data modeling, and data mapping following industry and Evernorth data design standards for analytics/data warehouses and operational data stores across various DBMS types, including Teradata, Oracle, Cloud, and Hadoop, Databricks and datalake.
+ Perform data analysis, profiling and validation, contributing to data quality efforts to understand data characteristics and ensure data correctness/condition for use.
+ Participate in and coordinate data model metadata development processes to support ongoing development efforts (data dictionary, NSM, and FET files), maintenance of data model/data mapping metadata, and linking of our data design metadata to business terms, data models, mapping documents, ETL jobs, and data model governance operations (policies, standards, best practices).
+ Facilitate and actively participate in data model/data mapping reviews and audits, fostering collaborative working relationships and partnerships with multidisciplinary teams.
+ Provide guidance, mentoring, and training as needed in data modeling, data lineage, ddl code, and the associated toolsets (Erwin Data Modeler, Erwin Web Portal, Erwin model mart, Erwin Data Intelligence Suite, Alation). Assist with the creation, documentation, and maintenance of Evernorth data design standards and best practices involving data modeling, data mapping, and metadata capture including data sensitivity, data quality rules, and reference data usage. Develop and facilitate strong partnerships and working relationships with Data Governance, delivery, and other data partners. Continuously improve operational processes for data design metadata management for global and strategic data.
+ Interact with Business stakeholders and IT in defining and managing data design. Coordination, collaboration, and innovation with Solution Verticals, Data Lake teams, IT & Business Portfolios to ensure alignment of data design metadata and related information with ongoing programs (cyber risk and security) and development efforts.
Experience Required:
+ 11 to 13 years' experience with data modeling (logical / physical data model, canonical structures, etc.) and SQL code;
+ Experience Desired:
+ Subject matter expertise level experience preferred
+ Experience executing data model / data lineage governance across business and technical data.
+ Experience utilizing data model / lineage / mapping / analysis management tools for business, technical and operational metadata (Erwin Data Modeler, Erwin Web Portal, Erwin Model Mart, Erwin Data Intelligence Suite, Alation
+ Experience working in an Agile delivery environment (Jira, Confluence, SharePoint, Git, etc.)
Education and Advanced Training Required:
+ ?degree in Computer Science or a related discipline and at least six, typically eight or more years' experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical data base design and relational data base definition, or an equivalent combination of education and work experience.
Primary Skills:
+ Physical Data Modeling, Data Warehousing, Metadata, Reference Data, Data Mapping
+ Data Mining, Teradata, Data Quality, Excellent Communication Skills, Data Analysis, Oracle
+ Data Governance, Database Management System, Jira, DDL, Data Integration, Microsoft, SharePoint, Database Modeling, Confluence, Agile, Marketing Analysis, SharePoint, Operations, Topo, Data Lineage, Data Warehouses, Documentation
+ Big Data, Web Portal, Maintenance, Erwin, SQL, Unstructured Data, Audit, Git, Pharmacy
DBMS, Databricks, AWS
+ Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Location & Hours of Work:
+ Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate.
+ Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.
+ Equal Opportunity Statement:
+ Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
+ General Shift (11:30 AM - 8:30 PM IST / 1:00 AM - 10:00 AM EST / 2:00 AM - 11:00 AM EDT)
?Equal Opportunity Statement
+ Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
**About Evernorth Health Services**
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Big Data Engineer, Data Modeling
Posted today
Job Viewed
Job Description
What can you tell your friends
when they ask you what you do?We’re looking for an experienced Big Data Engineer who can create innovative new products in the analytics and data space. You will participate in the development that creates the world's #1 mobile app analytics service. Together with the team, you will build out new product features and applications using agile methodologies and open-source technologies. You will work directly with Data Scientists, Data Engineers, Product Managers, and Software Architects, and will be on the front lines of coding new and exciting analytics and data mining products. You should be passionate about what you do and excited to join an entrepreneurial start-up.
To ensure we execute on our values we are looking for someone who has a passion for:
As a Big Data Engineer, we will need you to be in charge of model implementation and maintenance, and to build a clean, robust, and maintainable data processing program that can support these projects on huge amounts of data, this includes
You should recognize yourself in the following…
This position is located in Hyderabad, India.
We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.
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Data Engineer - AWS - Databricks, AWS EMR, Redshift, and various database management systems - 10...
Posted today
Job Viewed
Job Description
Minimum Requirements
- 5+ years of experience in Data Engineering, including more than 5 years of hands-on expertise with Databricks, AWS EMR, Redshift, and various database management systems.
- Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Databricks, Redshift etc.)
- Proficient in programming languages like Python and PySpark.
- Experience in data normalization, data modelling, Decoupled ETL, SQL modelling.
- Experience profiling, manipulating, and merging massive data set using Big Data technologies, preferably Databricks & AWS Analytics.
- Exposure to Unix or other shell scripting, job scheduling using Control-M or equivalent tools
- Attention to detail and logical based thinking in building, testing, and reviewing data pipelines containing multi-disciplinary information
- Commitment to building using established coding and naming standards
- Experience in guiding ad-hoc technical solutions to the team
Preferred
- Languages: Python, PySpark, SparkSQL, SQL, JAVA
- Exposure to SAP ERP system, Salesforce.com, etc. is preferred
- Visualization tool experience, especially with Tableau or Power BI
- Working in larger organizations with established individual responsibilities & teams.
We Value
- Databricks & AWS Cloud Certifications
- Experience in business domains – supply chain, pricing, sales & marketing
- Experience in working with data scientists
- Strong problem solver who can invent new techniques and approaches if necessary
- Ability to work in a fast-paced environment
R&D Data Modeling Manager Associate
Posted 3 days ago
Job Viewed
Job Description
**_Location: Hyderabad_**
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 in patients' daily lives, 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 a strong commitment to developing advanced data standards to increase reusability & interoperability and thus accelerate impact on global health.
The R&D Data Office serves as a cornerstone of this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We partner 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 developing sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable).
**_Position Summary:_**
The primary responsibility of this position is to support semantic integration and data harmonization across pharmaceutical R&D functions. In this role, you will design and implement ontologies and controlled vocabularies that enable interoperability of scientific, clinical, and operational data. Your work will be critical in accelerating discovery, improving data reuse, and enhancing insights across the drug development lifecycle.
**_Main responsibilities:_**
+ Develop, maintain, and govern ontologies and semantic models for key pharmaceutical domains, including preclinical, clinical, regulatory, and translational research
+ Design and implement controlled vocabularies and taxonomies to standardize terminology across experimental data, clinical trials, biomarkers, compounds, and regulatory documentation
+ Collaborate with cross-functional teams including chemists, biologists, pharmacologists, data scientists, and IT architects to align semantic models with scientific workflows and data standards
+ Map internal data sources to public ontologies and standards to ensure FAIR (Findable, Accessible, Interoperable, Reusable) data principles
+ Leverage semantic web technologies and ontology tools to build knowledge representation frameworks
+ Participate in ontology alignment, reasoning, and validation processes to ensure quality and logical consistency
+ Document semantic assets, relationships, and governance policies to support internal education and external compliance
**_Deliverables_**
+ Domain-specific ontologies representing concepts such as drug discovery (e.g., compounds, targets, assays), preclinical and clinical studies, biomarkers, adverse events, pharmacokinetics / dynamics, mechanisms of action, and disease models built using OWL/RDF and aligned with public standards
+ Controlled vocabularies & taxonomies for experimental conditions, cell lines, compound classes, endpoints, clinical trial protocols, etc.
+ Semantic data models supporting the integration of heterogeneous data sources (e.g., lab systems, clinical trial data, external databases)
+ Knowledge graphs or knowledge maps for semantic integration of structured data from internal R&D systems
+ Mappings to public ontologies, standards, and external knowledge bases like: CDISC, MedDRA, LOINC, UMLS, SNOMED CT, RxNorm, UniProt, DrugBank, PubChem, NCBI
+ Ontology documentation & governance artifacts, including ontology scope, design rationale, versioning documentation, and usage guidelines for internal stakeholders
+ Validation reports and consistency checks, including outputs from reasoners or SHACL validation to ensure logical coherence and change impact assessments when modifying existing ontologies
+ Training and stakeholder support materials: slide decks, workshops, and tutorials on using ontologies in data annotation, integration, and search
+ Support for application developers embedding semantic layers
**_About you_**
+ **Experience** : 5+ years of experience in ontology engineering, data management, data analysis, data architecture, or another related field
+ Proven experience in ontology engineering, Proven experience in ontology development within the biomedical or pharmaceutical domain
+ Experience working with biomedical ontologies and standards (e.g., GO, BAO, EFO, ChEBI, NCBI Taxonomy, NCI Thesaurus, etc.)
+ Familiarity with controlled vocabulary curation and knowledge graph construction. Demonstrated ability to understand end-to-end data use and business needs
+ Knowledge and/or experience of Pharma R&D or life sciences data and data domains. Understanding of FAIR data principles, data governance, and metadata management
+ Strong analytical problem-solving skills.Demonstrated strong attention to detail, quality, time management and customer focus
+ Excellent written and oral communication 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)
+ Knowledge and experience in ontology engineering and maintenance are required.Knowledge and experience with OWL, RDF, SKOS, and SPARQL
+ Familiarity with ontology engineering tools (e.g., Protégé, CENtree, TopBraid Composer PoolParty), Familiarity with ontology engineering methodologies (e.g., NeOn, METHONTOLOGY, Uschold and King, Grüninger and Fox, etc.)
+ Knowledge and experience in data modeling are highly desired. Experience with pharma R&D platforms, requirements gathering, system design, and validation/quality/compliance requirements
+ Experience with hierarchical data models from conceptualization to implementation, bachelor's in computer science, Information Science, Knowledge Engineering, or related; Masters or higher preferred
+ **Languages** : English
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