175 Data Modeling jobs in Noida

Job Title: Data Integration & Modeling Specialist

Job Type: Contract

Location: Remote

Duration: 6 Months

Job Summary:

We are seeking a highly skilled Data Integration & Modeling Specialist with hands-on experience in developing common metamodels, defining integration specifications, and working with semantic web technologies and various data formats. The ideal candidate will bring deep technical expertise and a collaborative mindset to support enterprise-level data integration and standardization initiatives.

Key Responsibilities:

Develop common metamodels by integrating requirements across diverse systems and organizations.

Define integration specifications, establish data standards, and develop logical and physical data models.

Collaborate with stakeholders to align data architectures with organizational needs and industry best practices.

Implement and govern semantic data solutions using RDF and SPARQL.

Perform data transformations and scripting using TCL, Python, and Java.

Work with multiple data formats including FRL, VRL, HRL, XML, and JSON to support integration and processing pipelines.

Document technical specifications and provide guidance on data standards and modeling best practices.

Required Qualifications:

3+ years of experience (within the last 8 years) in developing common metamodels, preferably using NIEM standards.

3+ years of experience (within the last 8 years) in:

Defining integration specifications

Developing data models

Governing data standards

2+ years of recent experience with:

Tool Command Language (TCL)

Python

Java

2+ years of experience with:

Resource Description Framework (RDF)

SPARQL Query Language

2+ years of experience working with:

Fixed Record Layout (FRL)

Variable Record Layout (VRL)

Hierarchical Record Layout (HRL)

XML

JSONodeling Specialist

1. Making Daily , Weekly and Monthly MIS Report of Employees based on their daily Tasks.
2. Making Sales Analysis Sheet and Reports and submitting to the Managing Director on a Monthly Basis.
3. Coordinate with Internal departments for various reports and data.
4. Making FMS through Google Forms.Making Attractive Reports through Google Data Studio.Compile weekly reports in the form of PowerPoint Slides, Excel Sheet and Data Studio and present them in front of management in monthly meetings.
5. Organizing Events All Data.Create Intranet (Google Sites) and add organization all data into there.
6. Create Dashboards on Google Data Studio. (Event Dashboard, EmployeeDashboard, Marketing Dashboard, Past Event Analytics Dashboards etc.)Making an automated system using google apps script (Automated Letters pdf generated and sent mail by google sheet.)Email Campaigns. (Send Mailers, Newsletters and personalize bulk mails. )
7. Making Google Forms
8. (New Employee Registration, Travel InformationForm and as per management requriement.)
9. Functions - Pivot, charts, Query, VLookeup, H Lookup, Importrange, Range, other functionsIntegration - Google forms, Calendar, Gmail, Sheet, Data Studio, Zapier/PabblyProgramming:
10. Google App Scripts

• Expertise in test data management tools and platforms (e.g., Delphix, Informatica TDM, IBM InfoSphere Optim, CA TDM).
• Strong knowledge of data security, privacy, and compliance standards (e.g., GDPR, HIPAA) as they relate to test data.
• Proficient in database management and query languages (e.g., SQL, PL/SQL) for data manipulation, extraction, and analysis.
• Experience with test automation frameworks and integration of TDM tools into CI/CD pipelines.
• Familiarity with cloud-based test data management solutions (e.g., AWS, Azure, Google Cloud).

• Expertise in test data management tools and platforms (e.g., Delphix, Informatica TDM, IBM InfoSphere Optim, CA TDM).
• Strong knowledge of data security, privacy, and compliance standards (e.g., GDPR, HIPAA) as they relate to test data.
• Proficient in database management and query languages (e.g., SQL, PL/SQL) for data manipulation, extraction, and analysis.
• Experience with test automation frameworks and integration of TDM tools into CI/CD pipelines.
• Familiarity with cloud-based test data management solutions (e.g., AWS, Azure, Google Cloud).

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.

We are leaders in managing data using the latest cloud information management and big data technologies. We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform

Associate/ Senior Associate, Data Management

Location: Vadodara, Gujarat, India Department: Analytics

Type: Full-Time Min. Experience: Experienced (2-4 yrs)

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Overview: -

Partnering with the Onsite Data Management Leadership team and helping them to implement the Data Warehouse solution within the KMK internal system.

Key Responsibilities: -

• Understanding business processes and leveraging data design expertise to properly design database and reporting solutions that improve efficiency over the long term.
• Responsible for developing and maintaining the Analytics data warehouse and MDM, leveraging data from across a variety of internal applications and data vendors.
• Contribute to the design and development of technical solutions to ensure that business requirements are satisfied.
• Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system.
• Utilize experience with- standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
• Driving the adoption of data management and reporting tools for business users.
• Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis.
• Documents ETL & MDM processes used for the data warehouse, data flow, and data quality to ensure visibility and transparency for stakeholders and boundary partners.

Qualification: -

• Professional work experience in Master Data Management, Hands-on experience with Master Data Management (full lifecycle gathering requirements, choosing/implementing tool, building solutions) preferred.
• Knowledge of an Enterprise-level Master Data Management platform such as Reltio MDM, Informatica MDM, Veeva Network, etc.
• Awareness of MDM trends, MDM Concepts, and other technologies in the market
• Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements.
• High proficiency with the SQL language and database management
• Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.

Education: -

Bachelor’s degree in computers/information systems and at least two years of related experience; or any equivalent combination of training and experience.

Benefits and Perks:

• Opportunity to work with Pharma/Life Science global customers.
• Challenging, transparent, and supportive work environment.
• Opportunity to grow rapidly in your career along with the company – get in at the right time!
• Competitive comp and benefits.
• Business casual dress policy.

KMK Consulting, Inc. is a fast-growing company with passionate, energetic, and dedicated people working in a dynamic and friendly environment. KMK Consulting, Inc. specializes in providing commercial operations support for the healthcare industry. We are hiring talented individuals who are interested in achieving individual and client’ success. KMK Consulting, Inc.