Data Engineer

Position: Data Engineer 

Experience: 6 Months to 3 Years 

Location: Remote/On-site (As applicable)

Joining: Immediate Joiners Preferred 

About the Role: 

We are looking for a skilled Data Engineer with strong Python expertise and hands-on experience in handling large datasets, data cleaning, analysis, and visualization. The ideal candidate should be capable of building data pipelines, performing web scraping, and generating actionable insights through dashboards and reports. 

Key Responsibilities: 

Develop, test, and maintain efficient Python scripts for data collection and transformation. 

Design and implement web scraping solutions to extract structured and unstructured data from diverse sources. 

Perform data cleaning, preprocessing, and analysis to identify patterns, trends, and insights. 

Work with SQL and NoSQL databases for efficient data storage web, retrieval, and manipulation. 

Create and maintain interactive dashboards and visualizations to present metrics and business insights to stakeholders. 

Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. 

Optimize existing data workflows and pipelines for performance and scalability. 

Document code, workflows, and methodologies for clarity and maintainability. 

Required Skills & Qualifications: 

Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience. 

Minimum 6 months of professional experience as a Data Engineer or in a similar role. 

Strong proficiency in Python and key data libraries (Pandas, NumPy, Scikit-learn). 

Hands-on experience with web scraping tools and libraries (Scrapy, BeautifulSoup, Selenium). 

Solid understanding of databases with strong SQL skills; exposure to databases like PostgreSQL, MongoDB is a plus. 

Experience with data visualization libraries (Matplotlib, Seaborn, Plotly) and/or BI tools (Power BI, Tableau, Looker). 

Strong problem-solving ability, analytical mindset, and keen attention to detail. 

Experience using version control systems (Git). 

Preferred Qualifications: 

Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. 

Familiarity with REST APIs for data collection and integration. 

Understanding of data warehousing concepts. 

Prior experience working in an Agile development environment.