Data Engineer Position

1 week ago

Morādābād, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000

Data Specialist Role

Job Overview: We are seeking an experienced Data Engineer to lead our data engineering team.

About the Job:

We require a skilled Data Specialist who can develop, test, and maintain efficient Python scripts for data collection and transformation. The successful candidate will also design and implement web scraping solutions to extract structured and unstructured data from diverse sources.

Main Responsibilities:

  • Design and implement data pipelines to handle large datasets
  • Create and maintain web scraping solutions to extract data from various sources
  • Perform data cleaning, preprocessing, and analysis to identify patterns and trends
  • Work with databases for efficient data storage, retrieval, and manipulation
  • Develop interactive dashboards and visualizations to present 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 2 years 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 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:

  • Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure
  • Understanding of data warehousing concepts
  • Prior experience working in an Agile development environment

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