What Jobs are available for Data Modeling in Delhi?
Showing 4 Data Modeling jobs in Delhi
Data Integration & Modeling Specialist
Posted today
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Job Description
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
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Lead Data Scientist - Financial Risk Modeling
Posted 8 days ago
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Job Description
Responsibilities:
- Lead the development, implementation, and validation of advanced statistical and machine learning models for financial risk assessment (e.g., credit risk, market risk, operational risk).
- Design and oversee model validation processes to ensure accuracy, robustness, and regulatory compliance.
- Collaborate with risk managers, business analysts, and other stakeholders to define modeling requirements and interpret results.
- Mentor and guide junior data scientists and analysts within the team.
- Develop and maintain data pipelines and infrastructure for model training and deployment.
- Stay abreast of the latest advancements in data science, machine learning, and financial risk management.
- Communicate complex findings and model insights clearly to both technical and non-technical audiences.
- Ensure models adhere to regulatory guidelines and internal governance standards.
- Propose innovative solutions to address evolving risk challenges.
- Ph.D. or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- 7+ years of experience in data science, with a strong focus on financial risk modeling.
- Proven expertise in statistical modeling, machine learning algorithms, and predictive analytics.
- Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong SQL skills and experience working with large, complex datasets.
- Deep understanding of financial markets, risk management concepts, and regulatory frameworks.
- Experience with model validation techniques and best practices.
- Excellent leadership, communication, and presentation skills.
- Ability to work effectively in a remote, collaborative team environment.
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Graduate Trainee - Data Analysis
Posted 18 days ago
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop and implement statistical models and algorithms.
- Create clear and insightful data visualizations and reports.
- Support senior analysts in interpreting data and deriving actionable insights.
- Collaborate with cross-functional teams to understand data needs and project objectives.
- Contribute to the development and maintenance of data analysis tools and frameworks.
- Stay updated with the latest advancements and best practices in data science and analytics.
- Ensure data accuracy and integrity throughout the analysis process.
- Participate in training sessions and team knowledge-sharing initiatives.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and methods.
- Proficiency in at least one programming language such as Python or R.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and commitment to data accuracy.
- Good communication skills, with the ability to explain technical concepts to non-technical audiences.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively both independently and as part of a team.
This is an exceptional entry-level opportunity for aspiring data professionals, located in our state-of-the-art facility in Delhi, Delhi, IN . If you are passionate about data and eager to build a career in analytics, we encourage you to apply.
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Data Architect
Posted 26 days ago
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Job Description
Were Hiring for Our Client! | Data Architect | Remote | Up to 1 Cr + ESOPs
Our client, a leading B2B/SaaS company , is looking for a Data Architect to drive innovation, scalability, and efficiency in data & platform engineering . This is a high-impact role where you'll play a crucial part in shaping the company's data infrastructure and strategy.
- Hands-on individual contributor role initially, with the opportunity to grow into a management leadership position .
- Architect and optimize high-scale, distributed data systems .
- Design and implement scalable data pipelines, APIs, and data infrastructure .
- Define and execute the data strategy & roadmap , collaborating with cross-functional teams.
- Ensure data governance, security, and compliance best practices.
- Preference will be given to candidates from product-based companies due to the complexity and scale of the role.
Key Requirements:
- Minimum 12 years in software/data engineering (2+ years in an architect role)
- Strong expertise in distributed systems, big data, and cloud platforms (AWS/GCP/Azure)
- Hands-on experience with Kafka, Spark, SQL, NoSQL, Data Lakes, ETL Pipelines
- Deep understanding of system design, algorithms, and data governance
- Education: B.Tech from a Tier 1 institute preferred
- Product-based company experience preferred
Why Join?
- Initial Individual Contributor Role Transition into a leadership position as the team scales.
- Opportunity to work on large-scale distributed data systems that power high-performance applications.
- Be part of a team that values innovation, problem-solving, and cutting-edge technology .
- Competitive compensation up to 1 Cr + ESOPs and a flexible remote work environment .
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