Data Engineer

Company: Blessing Softtech

Location: Office No. 304, Nyati Millennium, Opposite Panchshil Business Tower, Near Datta Mandir Chowk, Viman Nagar, Pune – 411014

Job Type: Full-Time | Work from Office

Experience: Minimum 6 months of relevant Data Engineering experience

Salary: ₹16,000 – ₹22,000 per month, based on experience and skills

Preference: Immediate Joiners Preferred

Note: Candidates currently based in Pune will be preferred due to urgent hiring.

Job Summary

We are looking for a hands-on Data Engineer with minimum 6 months of relevant experience in data collection, data extraction, web scraping, data fetching, data cleaning and automated ETL pipeline development.

The candidate will be responsible for collecting data from multiple sources such as websites, APIs, databases and files, transforming and validating the data, and developing automated pipelines for reliable data processing.

Robust practical knowledge of Python and SQL is mandatory, along with hands-on experience in web scraping, REST APIs, data processing and automation.

Key Responsibilities

- Data Collection & Research: Collect and research data from websites, APIs, databases, CSV/Excel files and other sources. Identify relevant data sources and ensure the collected information is accurate and useful.
- Web Scraping & Data Extraction: Develop and maintain web-scraping solutions using Playwright, Selenium and BeautifulSoup. Extract structured information from websites using HTML, CSS selectors and XPath.
- API Integration & Data Fetching: Fetch and integrate data from REST APIs and external systems using Python. Handle JSON responses, API requests, authentication, pagination and data transformation as required.
- Data Cleaning & Validation: Clean raw datasets by handling missing values, duplicates, incorrect formats and inconsistencies. Perform data validation and quality checks before storing or processing the data further.




- ETL Pipeline Development: Design and develop ETL pipelines to extract, transform and load data from multiple sources into databases or structured datasets. Automate recurring data-processing workflows wherever possible.
- Data Transformation: Transform raw data into structured and analysis-ready formats using Python, Pandas and NumPy. Ensure data is properly formatted and standardized across different sources.
- SQL & Database Management: Write efficient SQL queries for data extraction, transformation and validation. Work with MySQL and PostgreSQL for storing, managing and retrieving structured data.
- Automation: Develop Python-based automation scripts for repetitive data collection, extraction, cleaning, validation and pipeline processes. Minimize manual data-processing activities.
- Data Quality: Monitor data accuracy, completeness, consistency and reliability across different sources and pipelines. Identify data-quality issues and implement corrective solutions.
- Machine Learning Data Preparation: Prepare and transform datasets for analytics and machine learning applications. Support preprocessing, feature preparation and dataset validation when required.
- Pipeline Monitoring & Maintenance: Monitor automated pipelines and data-fetching processes for errors or failures. Troubleshoot issues and ensure continuous and reliable data flow.
- Version Control & Documentation: Use Git/GitHub for version control and maintain proper documentation of data sources, scripts, pipelines and data-processing workflows.





Must-Have Skills Candidates must have hands-on experience with the following:

Python | SQL | Pandas | NumPy | Requests | JSON | REST APIs | API Integration | Web Scraping | Playwright | Selenium | BeautifulSoup | HTML | CSS | XPath | Data Extraction | Data Collection | Data Cleaning | Data Validation | Data Transformation | ETL | ETL Pipelines | Data Quality | Automation | MySQL | PostgreSQL | Git | GitHub | Excel | CSV

Required Qualifications

- Bachelor's degree in Computer Science, IT, Data Science, Engineering, Statistics or a related field preferred.
- Minimum 6 months of hands-on Data Engineering / Data Extraction / Data Pipeline experience.
- Strong practical knowledge of Python and SQL.
- Hands-on experience in web scraping and data extraction.
- Experience working with REST APIs, JSON and API integrations.
- Practical knowledge of ETL and automated data pipelines.
- Experience working with MySQL and PostgreSQL.
- Good understanding of data cleaning, validation and transformation.
- Experience working with Excel and CSV datasets.
- Strong research, analytical and problem-solving abilities.
- Good attention to detail and ability to work with data from multiple sources.

Good to Have
- Experience with Machine Learning and ML data preparation.
- Knowledge of Airflow or other workflow orchestration tools.
- Familiarity with cloud platforms such as AWS, Azure or Google Cloud.
- Experience handling large-scale or frequently updated datasets.
- Experience building scheduled and fully automated data pipelines.

Key Skills Python | SQL | Pandas | REST APIs | Playwright | BeautifulSoup | Web Scraping | Data Extraction | Data Collection | Data Cleaning | Data Validation | ETL | Data Pipelines | PostgreSQL | MySQL | Automation | Git | GitHub | Linux | Docker | Airflow | AWS | PySpark

Pay: ₹16,000.00 - ₹22,000.00 per month

Work Location: In person

📌 Data Engineer (Pune)
🏢 Blessing SoftTech
📍 Pune