Data Engineer

Position : Data Engineer

Experience : 6 Months to 3 Years

Location : Remote

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, 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 .