9 Database Management 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

Ready to shape the future of work? 
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
 Inviting applications for the role of Manager/Senior Manager- Workforce Relations Admin!
This role is essential in supporting workforce relations by maintaining accurate and compliant documentation, preparing detailed case summaries, and assisting in internal investigations to address employee concerns. The ideal candidate will possess a strong background in employee relations administration, document management, and collaborating across HR and business functions to ensure a fair and compliant workplace."
Responsibilities
1. Strategic Oversight:
• Define and implement workforce relations admin management strategies aligned with organizational goals.
• Drive initiatives to enhance process accuracy, compliance, and efficiency.
2. Operational Leadership:
• Manage the Workforce Relations Admin function for a global workforce, ensuring timely and accurate processing.
• Oversee escalations and provide resolutions for complex issues.
3. Stakeholder Engagement:
• Collaborate with HR, Finance, and external vendors to streamline operations.
• Engage with senior leadership to align workforce relations admin management strategies with business objectives.
4. Compliance and Innovation:
• Ensure compliance with global and local regulations.
• Drive adoption of new technologies and automation to enhance the processes.
Qualifications we seek in you!
Minimum Qualifications
• Bachelor’s degree in HR, Finance, Accounting, or a related field (MBA preferred).
• 6-8 years of Workforce Relations Admin experience, with at least 3 years in leadership.
• Expertise in global HR management and compliance.
• Five Days working from Office

Preferred Qualifications/ Skills
• Proven track record in process automation and optimization.
• Certifications in HR management or HR operations.

Key Skills and Attributes:
• Strategic thinking and problem-solving abilities.
• Strong leadership and interpersonal skills.
• Proficiency in Workforce Relations Admin Management and HRIS systems.
• Effective communication and stakeholder engagement skills.
 
Why join Genpact? 
• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 
• Make an impact – Drive change for global enterprises and solve business challenges that matter 
• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let’s build tomorrow together. 
 

Ready to shape the future of work? 
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
 Inviting applications for the role of Manager/Senior Manager- Workforce Relations Admin!
This role is essential in supporting workforce relations by maintaining accurate and compliant documentation, preparing detailed case summaries, and assisting in internal investigations to address employee concerns. The ideal candidate will possess a strong background in employee relations administration, document management, and collaborating across HR and business functions to ensure a fair and compliant workplace."
Responsibilities
1. Strategic Oversight:
• Define and implement workforce relations admin management strategies aligned with organizational goals.
• Drive initiatives to enhance process accuracy, compliance, and efficiency.
2. Operational Leadership:
• Manage the Workforce Relations Admin function for a global workforce, ensuring timely and accurate processing.
• Oversee escalations and provide resolutions for complex issues.
3. Stakeholder Engagement:
• Collaborate with HR, Finance, and external vendors to streamline operations.
• Engage with senior leadership to align workforce relations admin management strategies with business objectives.
4. Compliance and Innovation:
• Ensure compliance with global and local regulations.
• Drive adoption of new technologies and automation to enhance the processes.
Qualifications we seek in you!
Minimum Qualifications
• Bachelor’s degree in HR, Finance, Accounting, or a related field (MBA preferred).
• 6-8 years of Workforce Relations Admin experience, with at least 3 years in leadership.
• Expertise in global HR management and compliance.
• Five Days working from Office

Preferred Qualifications/ Skills
• Proven track record in process automation and optimization.
• Certifications in HR management or HR operations.

Key Skills and Attributes:
• Strategic thinking and problem-solving abilities.
• Strong leadership and interpersonal skills.
• Proficiency in Workforce Relations Admin Management and HRIS systems.
• Effective communication and stakeholder engagement skills.
 
Why join Genpact? 
• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 
• Make an impact – Drive change for global enterprises and solve business challenges that matter 
• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 
• Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 
Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let’s build tomorrow together. 
 

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)

Location: Remote

Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.

Job Type: Full-time

About the role

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.

Responsibilities

• Responsible for analyzing the data, identifying patterns, and do a detailed EDA. 
• Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
• Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
• Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
• Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
• Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
• Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects

Required Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• 4–6 years of industry experience in data science or machine learning roles.
• Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
• Hands-on knowledge of:

> Programming languages : Python (primary), SQL, R (optional)

> Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers

> Distributed computing : PySpark, Dask

> Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML

> Data Engineering Tools : Apache Spark, Delta Lake, Airflow

> ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib

> Version control and collaboration : Git, GitHub, Jupyter, VSCode

Preferred Qualifications

• Masters or Ph.D. in a quantitative or technical field.
• Experience with deploying machine learning pipelines in production using CI/CD tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
• Understanding of MLOps and model lifecycle management best practices.
• Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.

What We Offer

• Competitive salary and performance bonuses
• Flexible working hours and remote options
• Opportunities for continued learning and research
• Collaborative, high-impact team environment
• Access to cutting-edge technology and compute resources

To apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)

Location: Remote

Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.

Job Type: Full-time

About the role

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.

Responsibilities

• Responsible for analyzing the data, identifying patterns, and do a detailed EDA. 
• Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
• Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
• Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
• Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
• Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
• Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects

Required Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• 4–6 years of industry experience in data science or machine learning roles.
• Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
• Hands-on knowledge of:

> Programming languages : Python (primary), SQL, R (optional)

> Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers

> Distributed computing : PySpark, Dask

> Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML

> Data Engineering Tools : Apache Spark, Delta Lake, Airflow

> ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib

> Version control and collaboration : Git, GitHub, Jupyter, VSCode

Preferred Qualifications

• Masters or Ph.D. in a quantitative or technical field.
• Experience with deploying machine learning pipelines in production using CI/CD tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
• Understanding of MLOps and model lifecycle management best practices.
• Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.

What We Offer

• Competitive salary and performance bonuses
• Flexible working hours and remote options
• Opportunities for continued learning and research
• Collaborative, high-impact team environment
• Access to cutting-edge technology and compute resources

To apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)

Location: Remote

Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.

Job Type: Full-time

About the role

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.

Responsibilities

• Responsible for analyzing the data, identifying patterns, and do a detailed EDA. 
• Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
• Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
• Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
• Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
• Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
• Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects

Required Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• 4–6 years of industry experience in data science or machine learning roles.
• Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
• Hands-on knowledge of:

> Programming languages : Python (primary), SQL, R (optional)

> Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers

> Distributed computing : PySpark, Dask

> Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML

> Data Engineering Tools : Apache Spark, Delta Lake, Airflow

> ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib

> Version control and collaboration : Git, GitHub, Jupyter, VSCode

Preferred Qualifications

• Masters or Ph.D. in a quantitative or technical field.
• Experience with deploying machine learning pipelines in production using CI/CD tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
• Understanding of MLOps and model lifecycle management best practices.
• Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.

What We Offer

• Competitive salary and performance bonuses
• Flexible working hours and remote options
• Opportunities for continued learning and research
• Collaborative, high-impact team environment
• Access to cutting-edge technology and compute resources

To apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)

Location: Remote

Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.

Job Type: Full-time

About the role

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.

Responsibilities

• Responsible for analyzing the data, identifying patterns, and do a detailed EDA. 
• Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
• Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
• Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
• Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
• Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
• Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects

Required Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• 4–6 years of industry experience in data science or machine learning roles.
• Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
• Hands-on knowledge of:

> Programming languages : Python (primary), SQL, R (optional)

> Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers

> Distributed computing : PySpark, Dask

> Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML

> Data Engineering Tools : Apache Spark, Delta Lake, Airflow

> ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib

> Version control and collaboration : Git, GitHub, Jupyter, VSCode

Preferred Qualifications

• Masters or Ph.D. in a quantitative or technical field.
• Experience with deploying machine learning pipelines in production using CI/CD tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
• Understanding of MLOps and model lifecycle management best practices.
• Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.

What We Offer

• Competitive salary and performance bonuses
• Flexible working hours and remote options
• Opportunities for continued learning and research
• Collaborative, high-impact team environment
• Access to cutting-edge technology and compute resources

To apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)

Location: Remote

Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.

Job Type: Full-time

About the role

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.

Responsibilities

• Responsible for analyzing the data, identifying patterns, and do a detailed EDA. 
• Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
• Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
• Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
• Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
• Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
• Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects

Required Qualifications

• Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field.
• 4–6 years of industry experience in data science or machine learning roles.
• Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
• Hands-on knowledge of:

> Programming languages : Python (primary), SQL, R (optional)

> Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers

> Distributed computing : PySpark, Dask

> Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML

> Data Engineering Tools : Apache Spark, Delta Lake, Airflow

> ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib

> Version control and collaboration : Git, GitHub, Jupyter, VSCode

Preferred Qualifications

• Masters or Ph.D. in a quantitative or technical field.
• Experience with deploying machine learning pipelines in production using CI/CD tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
• Understanding of MLOps and model lifecycle management best practices.
• Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.

What We Offer

• Competitive salary and performance bonuses
• Flexible working hours and remote options
• Opportunities for continued learning and research
• Collaborative, high-impact team environment
• Access to cutting-edge technology and compute resources

To apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.