Data Specialist

7 days ago

Vellore, Tamil Nadu, India beBeeData Full time ₹ 9,00,000 - ₹ 12,00,000
Senior Data Specialist Position

We are seeking a skilled data professional with strong expertise in handling large datasets, data cleaning, analysis, and visualization.

  • Key Responsibilities:
  • Develop, test, and maintain efficient scripts for data collection and transformation.
  • Design and implement 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 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 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.

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