Senior Data Professional

17 hours ago

Guntur, Andhra Pradesh, India beBeeData Full time ₹ 60,00,000 - ₹ 1,20,00,000

We are seeking a highly skilled Data Specialist to join our team.

Job Overview

The ideal candidate should have strong Python expertise and hands-on experience in handling large datasets, data cleaning, analysis, and visualization.

  • Main Responsibilities:
  • Analyze and process complex data sets using Python scripts.
  • Design and implement efficient data pipelines for structured and unstructured data extraction from diverse sources.
  • Perform advanced data cleaning, preprocessing, and analysis to identify patterns, trends, and insights.
  • Develop and maintain high-performance SQL and NoSQL database solutions for data storage, retrieval, and manipulation.
  • Create interactive dashboards and visualizations to present key metrics and business insights to stakeholders.
  • Collaborate with cross-functional teams to translate business needs into actionable data-driven solutions.
  • Optimize existing data workflows and pipelines for maximum performance and scalability.
  • Maintain accurate documentation of code, workflows, and methodologies.
Requirements
  • 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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