395 Data Mining jobs in Noida

Position: Data Mining Analyst

Please Note: Only Candidates with 2-3 years of experience should apply.

This is a Delhi-based position and work from office only!

Work Location: Sector 23 Dwarka, Delhi

We are seeking a skilled Data Mining Analyst with expertise in automating data extraction processes from web platforms. The ideal candidate will be experienced in Python, Selenium, Pandas, SQL, and APIs, with the ability to design and implement efficient and scalable data scraping systems. If you have a passion for working with data and a solid understanding of web technologies, we want to hear from you!

Key Responsibilities:

• Design, develop, and maintain robust web scraping solutions to extract structured and unstructured data from various websites and APIs.
• Use tools like Python, Selenium, BeautifulSoup, Scrapy, and Pandas for data scraping and processing.
• Build and manage automated scripts to scrape dynamic websites, including handling JavaScript-driven content.
• Optimize scraping workflows to ensure data extraction is efficient, accurate, and scalable.
• Work with APIs to gather and integrate data, ensuring proper rate limits and authentication handling.
• Clean, preprocess, and store extracted data in databases (SQL) or cloud-based systems.
• Collaborate with data analysts and other stakeholders to provide required data for further analysis and reporting.
• Debug and troubleshoot issues in scraping pipelines and scripts.
• Ensure compliance with ethical data scraping standards, including legal considerations like website terms of use and robots.txt policies.

Required Skills & Qualifications:

• Experience : 2-3 years of hands-on experience in web scraping and data extraction.

Technical Skills :

• Strong proficiency in Python.
• Experience with web scraping frameworks and libraries like Selenium, Scrapy, BeautifulSoup, and Requests.
• Experience with data manipulation libraries like Pandas.
• Familiarity with API integration (REST, GraphQL, etc.).
• Proficiency in SQL for data querying, database design, and managing large datasets.
• Knowledge of JavaScript and front-end technologies to work with dynamic web pages.
• Experience with version control (Git) and collaborative development environments.

Other Skills :

• Problem-solving skills with attention to detail.
• Ability to write clean, maintainable code and automate workflows.
• Good understanding of HTTP, HTML, CSS, and JavaScript.
• Familiarity with cloud services (AWS, Azure, GCP) is a plus.

Python Nice to Have:

• Experience with cloud-based scraping tools or services (e.g., AWS Lambda, Google Cloud Functions).
• Familiarity with distributed scraping and data pipeline management.
• Experience with large-scale data collection and storage systems.
• Knowledge of ethical and legal issues related to web scraping.

About Nuvoretail (

Nuvoretail Enlytical Technologies Private Limited is an e-commerce analytics and automation company. Our proprietary digital shelf analytics and automation platform called Enlytical.ai helps e-commerce brands solve the complexities in today’s e-commerce landscape by offering a unified and all- encompassing business view on the various aspects of e-commerce business. Our platform leverages insights drawn from multiple data points that help our clients win in e-commerce by gaining a competitive edge with data-driven insights for sharper decision-making. The insights cover all aspects of e-commerce such as digital product portfolio analysis, supply chain analytics, e-commerce operations automation, pricing, and competitor benchmarking, and Amazon advertising automation using our proprietary algorithms.

As a leading e-commerce service provider, we offer the most comprehensive end-to-end

e-commerce solutions to brands, both in India and abroad. Right from preparing a road map to writing our client’s e- commerce success story to assisting them In increasing their online sales, we do everything via our diverse e-commerce services and bespoke strategies and technology. Our services span across the brand’s e-commerce enablement including content and digital asset creation for product listing, On Platform, and Off Platform marketing services with deep expertise in Amazon Marketing Services (AMS), Amazon SEO through keyword research, e-Commerce operations across various e-commerce platforms, website development, social media marketing, and AI-enabled e-Commerce MIS Dashboards.

Awards & Recognition:

Thanks to the faith reposed on us by our clients, NuvoRetail has been featured as "The Most Promising Ecommerce Technology Service Providers in India 2020” by CIOReviewIndia Magazine. Our leadership is often acknowledged by leading e-commerce services, digital marketing, consulting, and other e- commerce programs around the world. We are now one of the very few companies in India that have become an Amazon Ads Advanced partner.

Qinecsa

Qinecsa is a global team of technology innovators and entrepreneurs with deep experience in clinical research, medical product safety and public health surveillance. We are working with regulators, major pharmaceutical companies and academia to develop the next generation of analytical solutions used to improve drug, vaccine and device safety monitoring and public health surveillance. We are growing and looking for world class talent to help us deliver innovative products and services that help our customers answer complex and important questions.

Position title - Senior Data Engineer

Experience - 10-12 Years

Location - Remote(India)

Overview

Reporting to Head of Development, you will be responsible for developing and optimising data driven products and services for our Qinecsa product suite, including data lakehouse, Data Access APIs and reporting.

Responsibilities

• Contribute to all phases of the software development lifecycle
• Design and architect future-state solutions
• Design and maintain conceptual, logical, and physical product data models
• Assist in process and performance optimization for data access
• Database tuning and optimisation
• Help guide and mentor less experienced software developers
• Support and resolve base product defects and incidents client testing and production environments
• Staying up to date with recent technology trends and tools.

Technical Stack

• AWS
• SQL
• Python
• Apache Kafka
• PostgreSQL
• Linux/Ubuntu

Required Qualifications and Skills

• Extensive professional data product development experience, including design, development, documentation, and maintenance across the full software development lifecycle
• Experience in designing and implementing data products
• Experience creating secure data solutions including avoidance and mitigation patterns for relevant current and previous OWASP top-10
• Demonstrable experience in data modelling and tuning SQL query performance
• Experience working with relational databases (PostgreSQL preferred) and efficient data design and access (ORM, JDBC, DAO, SQL)
• Experience or an intertest and willingness to learn GXP/Computer Systems Validation principles
• Strong attention to detail
• Ability to work independently and multi-task effectively
• Excellent written and oral communications skills

Preferred Qualifications and Skills

• Life Sciences and / or Pharmacovigilance related data sets and standards, e.g. E2B R2 / R3, MedDRA, IDMP
• Developing Healthcare or Life Sciences data products for regulated environments
• Developing using AWS, and associated proprietary AWS services, e.g. S3, RDS, DMS
• Development using Eclipse, Git and Jira in a hybrid Agile methodology
• Data management tools, such as Flyway or Liquibase
• Reporting and BI tools such as Tableau

Education and Experience

• Bachelor’s degree in computer science, informatics, or a related field
• Minimum of 10 years of fulltime experience in data engineering / modelling

Qinecsa is an equal employment opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, sex, national origin, age, genetic information, gender identity or expression, sexual orientation, disability, or any other characteristic protected by law.

All qualified candidates are encouraged to apply.

Qinecsa

Qinecsa is a global team of technology innovators and entrepreneurs with deep experience in clinical research, medical product safety and public health surveillance. We are working with regulators, major pharmaceutical companies and academia to develop the next generation of analytical solutions used to improve drug, vaccine and device safety monitoring and public health surveillance. We are growing and looking for world class talent to help us deliver innovative products and services that help our customers answer complex and important questions.

Position title - Senior Data Engineer

Experience - 10-12 Years

Location - Remote(India)

Overview

Reporting to Head of Development, you will be responsible for developing and optimising data driven products and services for our Qinecsa product suite, including data lakehouse, Data Access APIs and reporting.

Responsibilities

• Contribute to all phases of the software development lifecycle
• Design and architect future-state solutions
• Design and maintain conceptual, logical, and physical product data models
• Assist in process and performance optimization for data access
• Database tuning and optimisation
• Help guide and mentor less experienced software developers
• Support and resolve base product defects and incidents client testing and production environments
• Staying up to date with recent technology trends and tools.

Technical Stack

• AWS
• SQL
• Python
• Apache Kafka
• PostgreSQL
• Linux/Ubuntu

Required Qualifications and Skills

• Extensive professional data product development experience, including design, development, documentation, and maintenance across the full software development lifecycle
• Experience in designing and implementing data products
• Experience creating secure data solutions including avoidance and mitigation patterns for relevant current and previous OWASP top-10
• Demonstrable experience in data modelling and tuning SQL query performance
• Experience working with relational databases (PostgreSQL preferred) and efficient data design and access (ORM, JDBC, DAO, SQL)
• Experience or an intertest and willingness to learn GXP/Computer Systems Validation principles
• Strong attention to detail
• Ability to work independently and multi-task effectively
• Excellent written and oral communications skills

Preferred Qualifications and Skills

• Life Sciences and / or Pharmacovigilance related data sets and standards, e.g. E2B R2 / R3, MedDRA, IDMP
• Developing Healthcare or Life Sciences data products for regulated environments
• Developing using AWS, and associated proprietary AWS services, e.g. S3, RDS, DMS
• Development using Eclipse, Git and Jira in a hybrid Agile methodology
• Data management tools, such as Flyway or Liquibase
• Reporting and BI tools such as Tableau

Education and Experience

• Bachelor’s degree in computer science, informatics, or a related field
• Minimum of 10 years of fulltime experience in data engineering / modelling

Qinecsa is an equal employment opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, sex, national origin, age, genetic information, gender identity or expression, sexual orientation, disability, or any other characteristic protected by law.

All qualified candidates are encouraged to apply.

Qinecsa

Qinecsa is a global team of technology innovators and entrepreneurs with deep experience in clinical research, medical product safety and public health surveillance. We are working with regulators, major pharmaceutical companies and academia to develop the next generation of analytical solutions used to improve drug, vaccine and device safety monitoring and public health surveillance. We are growing and looking for world class talent to help us deliver innovative products and services that help our customers answer complex and important questions.

Position title - Senior Data Engineer

Experience - 10-12 Years

Location - Remote(India)

Overview

Reporting to Head of Development, you will be responsible for developing and optimising data driven products and services for our Qinecsa product suite, including data lakehouse, Data Access APIs and reporting.

Responsibilities

• Contribute to all phases of the software development lifecycle
• Design and architect future-state solutions
• Design and maintain conceptual, logical, and physical product data models
• Assist in process and performance optimization for data access
• Database tuning and optimisation
• Help guide and mentor less experienced software developers
• Support and resolve base product defects and incidents client testing and production environments
• Staying up to date with recent technology trends and tools.

Technical Stack

• AWS
• SQL
• Python
• Apache Kafka
• PostgreSQL
• Linux/Ubuntu

Required Qualifications and Skills

• Extensive professional data product development experience, including design, development, documentation, and maintenance across the full software development lifecycle
• Experience in designing and implementing data products
• Experience creating secure data solutions including avoidance and mitigation patterns for relevant current and previous OWASP top-10
• Demonstrable experience in data modelling and tuning SQL query performance
• Experience working with relational databases (PostgreSQL preferred) and efficient data design and access (ORM, JDBC, DAO, SQL)
• Experience or an intertest and willingness to learn GXP/Computer Systems Validation principles
• Strong attention to detail
• Ability to work independently and multi-task effectively
• Excellent written and oral communications skills

Preferred Qualifications and Skills

• Life Sciences and / or Pharmacovigilance related data sets and standards, e.g. E2B R2 / R3, MedDRA, IDMP
• Developing Healthcare or Life Sciences data products for regulated environments
• Developing using AWS, and associated proprietary AWS services, e.g. S3, RDS, DMS
• Development using Eclipse, Git and Jira in a hybrid Agile methodology
• Data management tools, such as Flyway or Liquibase
• Reporting and BI tools such as Tableau

Education and Experience

• Bachelor’s degree in computer science, informatics, or a related field
• Minimum of 10 years of fulltime experience in data engineering / modelling

Qinecsa is an equal employment opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, sex, national origin, age, genetic information, gender identity or expression, sexual orientation, disability, or any other characteristic protected by law.

All qualified candidates are encouraged to apply.

Qinecsa

Qinecsa is a global team of technology innovators and entrepreneurs with deep experience in clinical research, medical product safety and public health surveillance. We are working with regulators, major pharmaceutical companies and academia to develop the next generation of analytical solutions used to improve drug, vaccine and device safety monitoring and public health surveillance. We are growing and looking for world class talent to help us deliver innovative products and services that help our customers answer complex and important questions.

Position title - Senior Data Engineer

Experience - 10-12 Years

Location - Remote(India)

Overview

Reporting to Head of Development, you will be responsible for developing and optimising data driven products and services for our Qinecsa product suite, including data lakehouse, Data Access APIs and reporting.

Responsibilities

• Contribute to all phases of the software development lifecycle
• Design and architect future-state solutions
• Design and maintain conceptual, logical, and physical product data models
• Assist in process and performance optimization for data access
• Database tuning and optimisation
• Help guide and mentor less experienced software developers
• Support and resolve base product defects and incidents client testing and production environments
• Staying up to date with recent technology trends and tools.

Technical Stack

• AWS
• SQL
• Python
• Apache Kafka
• PostgreSQL
• Linux/Ubuntu

Required Qualifications and Skills

• Extensive professional data product development experience, including design, development, documentation, and maintenance across the full software development lifecycle
• Experience in designing and implementing data products
• Experience creating secure data solutions including avoidance and mitigation patterns for relevant current and previous OWASP top-10
• Demonstrable experience in data modelling and tuning SQL query performance
• Experience working with relational databases (PostgreSQL preferred) and efficient data design and access (ORM, JDBC, DAO, SQL)
• Experience or an intertest and willingness to learn GXP/Computer Systems Validation principles
• Strong attention to detail
• Ability to work independently and multi-task effectively
• Excellent written and oral communications skills

Preferred Qualifications and Skills

• Life Sciences and / or Pharmacovigilance related data sets and standards, e.g. E2B R2 / R3, MedDRA, IDMP
• Developing Healthcare or Life Sciences data products for regulated environments
• Developing using AWS, and associated proprietary AWS services, e.g. S3, RDS, DMS
• Development using Eclipse, Git and Jira in a hybrid Agile methodology
• Data management tools, such as Flyway or Liquibase
• Reporting and BI tools such as Tableau

Education and Experience

• Bachelor’s degree in computer science, informatics, or a related field
• Minimum of 10 years of fulltime experience in data engineering / modelling

Qinecsa is an equal employment opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, sex, national origin, age, genetic information, gender identity or expression, sexual orientation, disability, or any other characteristic protected by law.

All qualified candidates are encouraged to apply.

Qinecsa

Qinecsa is a global team of technology innovators and entrepreneurs with deep experience in clinical research, medical product safety and public health surveillance. We are working with regulators, major pharmaceutical companies and academia to develop the next generation of analytical solutions used to improve drug, vaccine and device safety monitoring and public health surveillance. We are growing and looking for world class talent to help us deliver innovative products and services that help our customers answer complex and important questions.

Position title - Senior Data Engineer

Experience - 10-12 Years

Location - Remote(India)

Overview

Reporting to Head of Development, you will be responsible for developing and optimising data driven products and services for our Qinecsa product suite, including data lakehouse, Data Access APIs and reporting.

Responsibilities

• Contribute to all phases of the software development lifecycle
• Design and architect future-state solutions
• Design and maintain conceptual, logical, and physical product data models
• Assist in process and performance optimization for data access
• Database tuning and optimisation
• Help guide and mentor less experienced software developers
• Support and resolve base product defects and incidents client testing and production environments
• Staying up to date with recent technology trends and tools.

Technical Stack

• AWS
• SQL
• Python
• Apache Kafka
• PostgreSQL
• Linux/Ubuntu

Required Qualifications and Skills

• Extensive professional data product development experience, including design, development, documentation, and maintenance across the full software development lifecycle
• Experience in designing and implementing data products
• Experience creating secure data solutions including avoidance and mitigation patterns for relevant current and previous OWASP top-10
• Demonstrable experience in data modelling and tuning SQL query performance
• Experience working with relational databases (PostgreSQL preferred) and efficient data design and access (ORM, JDBC, DAO, SQL)
• Experience or an intertest and willingness to learn GXP/Computer Systems Validation principles
• Strong attention to detail
• Ability to work independently and multi-task effectively
• Excellent written and oral communications skills

Preferred Qualifications and Skills

• Life Sciences and / or Pharmacovigilance related data sets and standards, e.g. E2B R2 / R3, MedDRA, IDMP
• Developing Healthcare or Life Sciences data products for regulated environments
• Developing using AWS, and associated proprietary AWS services, e.g. S3, RDS, DMS
• Development using Eclipse, Git and Jira in a hybrid Agile methodology
• Data management tools, such as Flyway or Liquibase
• Reporting and BI tools such as Tableau

Education and Experience

• Bachelor’s degree in computer science, informatics, or a related field
• Minimum of 10 years of fulltime experience in data engineering / modelling

Qinecsa is an equal employment opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, sex, national origin, age, genetic information, gender identity or expression, sexual orientation, disability, or any other characteristic protected by law.

All qualified candidates are encouraged to apply.

Qinecsa

Qinecsa is a global team of technology innovators and entrepreneurs with deep experience in clinical research, medical product safety and public health surveillance. We are working with regulators, major pharmaceutical companies and academia to develop the next generation of analytical solutions used to improve drug, vaccine and device safety monitoring and public health surveillance. We are growing and looking for world class talent to help us deliver innovative products and services that help our customers answer complex and important questions.

Position title - Senior Data Engineer

Experience - 10-12 Years

Location - Remote(India)

Overview

Reporting to Head of Development, you will be responsible for developing and optimising data driven products and services for our Qinecsa product suite, including data lakehouse, Data Access APIs and reporting.

Responsibilities

• Contribute to all phases of the software development lifecycle
• Design and architect future-state solutions
• Design and maintain conceptual, logical, and physical product data models
• Assist in process and performance optimization for data access
• Database tuning and optimisation
• Help guide and mentor less experienced software developers
• Support and resolve base product defects and incidents client testing and production environments
• Staying up to date with recent technology trends and tools.

Technical Stack

• AWS
• SQL
• Python
• Apache Kafka
• PostgreSQL
• Linux/Ubuntu

Required Qualifications and Skills

• Extensive professional data product development experience, including design, development, documentation, and maintenance across the full software development lifecycle
• Experience in designing and implementing data products
• Experience creating secure data solutions including avoidance and mitigation patterns for relevant current and previous OWASP top-10
• Demonstrable experience in data modelling and tuning SQL query performance
• Experience working with relational databases (PostgreSQL preferred) and efficient data design and access (ORM, JDBC, DAO, SQL)
• Experience or an intertest and willingness to learn GXP/Computer Systems Validation principles
• Strong attention to detail
• Ability to work independently and multi-task effectively
• Excellent written and oral communications skills

Preferred Qualifications and Skills

• Life Sciences and / or Pharmacovigilance related data sets and standards, e.g. E2B R2 / R3, MedDRA, IDMP
• Developing Healthcare or Life Sciences data products for regulated environments
• Developing using AWS, and associated proprietary AWS services, e.g. S3, RDS, DMS
• Development using Eclipse, Git and Jira in a hybrid Agile methodology
• Data management tools, such as Flyway or Liquibase
• Reporting and BI tools such as Tableau

Education and Experience

• Bachelor’s degree in computer science, informatics, or a related field
• Minimum of 10 years of fulltime experience in data engineering / modelling

Qinecsa is an equal employment opportunity and affirmative action employer. We do not discriminate based upon race, color, religion, sex, national origin, age, genetic information, gender identity or expression, sexual orientation, disability, or any other characteristic protected by law.

All qualified candidates are encouraged to apply.

• Develop and implement data mining strategies to extract meaningful insights.
• Design, build, and maintain predictive models using machine learning algorithms.
• Perform data cleaning, preprocessing, and transformation for analysis.
• Identify trends, patterns, and anomalies in large datasets.
• Collaborate with stakeholders to understand data requirements and deliver solutions.
• Communicate complex findings and recommendations to both technical and non-technical audiences.
• Stay up-to-date with the latest advancements in data mining and machine learning.
• Utilize various data mining tools and programming languages (e.g., Python, R, SQL).
• Work independently and manage time effectively in a remote setting.
• Contribute to the development of data-driven strategies and decision-making processes.

• Master's or PhD in Computer Science, Statistics, Data Science, or a related field.
• Proven experience in data mining, machine learning, and statistical modeling.
• Proficiency in programming languages like Python or R.
• Strong SQL skills and experience with database management.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication and presentation skills.
• Ability to work autonomously and as part of a remote team.
• Demonstrated ability to translate data into actionable insights.
• Passion for data and continuous learning.