Data Engineering & Python Intern
Company: OBLIM Intelligence Private Limited
Job Type: Full-time Internship
Duration: 6 Months
Stipend: ₹10,000 per month
Experience: Fresher
About OBLIM Intelligence
OBLIM Intelligence Private Limited is a financial-market intelligence company focused on quantitative research, statistical analysis, risk intelligence, derivatives analytics, and data-driven market research.
OBLIM combines Statistics, Data Science, Artificial Intelligence, and financial-market research to build intelligent systems for analyzing complex market data.
We are building the data and technology foundation required to support quantitative research, AI/ML models, market intelligence systems, and future financial analytics products.
About the Role
We are looking for a Data Engineering & Python Intern who is interested in working with real-world data, Python programming, APIs, databases, and data pipelines.
You will work closely with the AI & Quantitative Research team to collect, process, validate, organize, and prepare financial-market data for research and intelligent analytical systems.
This role is particularly suitable for students or freshers who want practical exposure to Python, data engineering, financial data, APIs, SQL, databases, and AI/ML data infrastructure.
Key ResponsibilitiesData Engineering
- Collect and organize financial-market data from reliable data sources.
- Build and maintain data pipelines using Python.
- Develop processes for collecting, transforming, storing, and validating data.
- Automate repetitive data-processing and data-management tasks.
- Handle historical and real-time datasets where applicable.
- Maintain structured and reliable datasets for research and analytics.
Financial Market Data
- Work with financial-market datasets such as:
- Equity market data
- Index data
- Derivatives data
- Options and futures data
- Trading volume and price data
- Volatility-related data
- Digital-asset/crypto-market data
- Understand different market-data formats and structures.
- Identify missing, incorrect, duplicated, or inconsistent data.
Python Development
- Develop data-processing scripts and automation tools using Python.
- Use libraries such as Pandas and NumPy for data manipulation and analysis.
- Write clean, reusable, and maintainable Python code.
- Develop utilities for data extraction, transformation, validation, and storage.
- Optimize data-processing workflows where required.
APIs & Data Collection
- Work with REST APIs and other data-access mechanisms.
- Integrate external data sources into internal systems.
- Handle API responses, authentication, pagination, errors, and rate limits.
- Develop reliable processes for scheduled data collection.
- Monitor data collection and identify failures or inconsistencies.
Databases & SQL
- Store and manage structured datasets in databases.
- Write SQL queries for data retrieval and transformation.
- Work with relational databases such as PostgreSQL or MySQL.
- Design basic database tables and relationships.
- Maintain data consistency and integrity.
AI/ML Data Preparation
- Prepare high-quality datasets for AI and Machine Learning models.
- Perform data cleaning, transformation, normalization, and feature preparation.
- Work with the AI & Quantitative Research team to provide research-ready datasets.
- Support the creation of datasets required for model training, testing, and backtesting.
Data Quality & Validation
- Develop checks to identify missing or abnormal data.
- Validate incoming market data against predefined rules.
- Maintain data accuracy, consistency, and reliability.
- Investigate data-quality issues and resolve them systematically.
- Maintain proper documentation of datasets and data pipelines.
Collaboration
- Work closely with the AI & Quantitative Research Intern and other technical team members.
- Support quantitative research and AI/ML development through reliable data infrastructure.
- Participate in technical discussions and development activities.
- Document important data sources, processes, and technical workflows.
Required Skills
- Basic to intermediate knowledge of Python.
- Understanding of Pandas and NumPy.
- Basic knowledge of SQL.
- Understanding of databases and structured data.
- Basic understanding of APIs and JSON.
- Knowledge of data cleaning and preprocessing.
- Good logical and problem-solving skills.
- Ability to work with large datasets.
- Willingness to learn data engineering and financial-market technologies.
- Good attention to detail.
Preferred Skills
Candidates with knowledge or experience in any of the following will be preferred:
- PostgreSQL / MySQL
- REST APIs
- FastAPI
- Data pipelines / ETL
- Data validation
- Git / GitHub
- Docker
- Linux
- Cloud platforms
- Airflow or workflow automation
- Financial-market datasets
- Time-series data
- Data engineering concepts
- Python automation
- Basic understanding of Machine Learning
- Basic understanding of financial markets
Educational Background
Students or fresh graduates from backgrounds such as:
- Computer Science
- Data Science
- Artificial Intelligence
- Statistics
- Mathematics
- Engineering
- Computer Applications
- Economics
- Other quantitative or technology-related disciplines
Students from other backgrounds with strong Python and data-engineering skills may also apply.
Ideal Candidate
The ideal candidate is someone who:
- Enjoys working with data and Python.
- Has strong attention to detail.
- Likes solving technical and data-related problems.
- Is interested in financial markets and quantitative technologies.
- Wants practical experience working with real-world datasets.
- Is comfortable learning new technologies independently.
- Can work responsibly on assigned technical tasks.
- Understands the importance of data accuracy and reliability.
Internship Environment
At OBLIM Intelligence, interns will work on practical internal technology and research infrastructure.
The role involves working with real datasets, Python development, APIs, databases, data pipelines, and financial-market data.
Interns are expected to take ownership of assigned tasks, maintain professional development practices, document their work, and collaborate with other members of the technical and research team.
Data & Research Integrity
Because OBLIM works with financial-market data and quantitative research, accuracy and data integrity are extremely important.
Interns are expected to follow proper data-handling practices and maintain transparency in data processing, validation, and documentation.
This internship is focused on research, analytics, technology development, and data infrastructure and does not involve providing investment advice or guaranteed trading returns.
Selection Process
The selection process may include:
- Application review
- Technical assessment
- Technical interview
- Final discussion
- Internship offer
Stipend & Internship Details
- Stipend: ₹10,000 per month
- Duration: 6 months
- Job Type: Full-time Internship
- Experience: Fresher
How to Apply
Interested candidates can apply through the OBLIM Intelligence LinkedIn page.
Follow the company page and check the available internship/job application instructions.
OBLIM Intelligence LinkedIn: https://in.linkedin.com/company/oblim-intelligence/
Join OBLIM Intelligence
If you are passionate about Python, Data Engineering, APIs, Databases, Financial Data, and AI-driven technologies, this internship provides an opportunity to work on the technical foundation behind a growing financial-market intelligence company.
Join OBLIM Intelligence and help build the data infrastructure powering the next generation of quantitative market intelligence.
Pay: ₹10,000.00 per month
Benefits:
- Internet reimbursement
- Work from home
Work Location: Remote
