Senior Python Data Scraping Engineer (Freelance) in… - Jobeax
Vacancy description
Senior Python Data Scraping Engineer (Freelance) in Delhi, India
Mindrift
RemoteWork from anywhere
Part-timeFewer hours each week
ContractFixed-term or freelance
$30 USD / hour
India, Delhi
Senior Python Data Scraping Engineer (Freelance) in Delhi, India is listed on Jobeax. Browse 30,000+ vacancies available.
Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project () and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.
What We Do
The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.
About the Role
This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.
Key Responsibilities
Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.
Educational qualifications
At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
Academic and/or Professional Experience
Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
Technical Skills (Essential)
Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
Additional requirements
Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
Strong attention to detail and commitment to data accuracy
Self-directed work ethic with ability to troubleshoot independently
A link to GitHub is a plus
English proficiency: Upper-intermediate (B2) or above (required)
Project time expectations
For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
Compensation
On this project, contributors can earn up to $30 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
... Storytelling- translate technical findings into clear, actionable recommendations for non-technical stakeholders, including senior leadership. 3-4 years of experience in data science, analytics, or a related quantitative role, ideally handling large, real-world datasets. - Strong hands-on skills in Python and SQL, with solid fundamentals ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... familiarity with topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science or a related discipline. - Proficiency in generative AI and large language models. - Strong programming skills in languages such as Python or R. - Experience ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... Proficiency in Python, Pandas, NumPy, Scikit-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, ...
... https://jobeax.com/link/SxaWoIptPtnP4xy1 Skills:- 6 to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- ...
... lifecycle from problem formulation, data acquisition, data cleaning to model building and deployment at enterprise https://jobeax.com/link/AsTDTp6i8kJTEE83 in Python or R, ML frameworks (PyTorch, TensorFlow, scikit-learn) and libraries (NumPy, pandas). Experience with software engineering practices, agile methodologies and ...
... model outcomes, and business impact to senior stakeholders.- Manage expectations, timelines, dependencies, and delivery priorities across multiple initiatives.5. Data Science Engineering & Deployment:- Collaborate with engineering teams to productionize machine learning models and analytical solutions.- Promote scalable ML ...
... operations at ELGi. Data Engineering & Architecture Design scalable, production-grade ETL/ELT pipelines across Azure, AWS, and GCP. Develop modular, reusable data engineering frameworks for ingestion, transformation, and orchestration. Build Spark, SQL, and Python workflows in Databricks. Optimize compute, storage, and ...
... least one certification • Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud ...
Data Engineer – Python & Pyspark (AWS) Exp: 6+ yrs Location : Chennai Client Place Guindy Work Mode : All 5 days Role Overview We're seeking a Senior Data Engineer with strong hands-on expertise in Python, PySpark, and AWS to design, build, and operate scalable data pipelines for analytics and operational workloads. You ...
Neutrino Advisory is looking for an experienced Senior Data Engineer with strong hands-on experience building and supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon AppFlow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data ...
... Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and ...
... Continuously improve pipeline reliability, scalability, performance, and infrastructure cost efficiency.Must-Have Requirements : - 4 - 6 years of experience in data engineering or a closely related field, with strong hands-on production experience.- Expert-level SQL and strong Python skills, with experience writing production-grade, ...
Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...
... during your interview. Position Title – Senior Data Engineer The Senior Data Engineer will lead the design, development, and optimization of enterprise-scale data pipelines and integration solutions. This role requires deep expertise in data engineering principles, strong knowledge of relational databases, and experience ...
... data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.- Ensure data privacy and compliance with relevant regulations (e.g., GDPR) when handling customer data.- Maintain data quality and consistency within the application, addressing ...