Senior Business Intelligence Developer

2 days ago

Mangalore, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title: Senior Data Scientist

Experience: 4–7 Years

Location: Remote

Employment Type: Full-Time



We are seeking a highly skilled professional with expertise in SQL, Python, and Java, along with exposure to Generative AI tools and techniques. The ideal candidate will play a critical role in data extraction, integration, and advanced analysis by leveraging both traditional programming and emerging AI technologies.

Main Responsibilities:
  • Design, develop, and optimize SQL queries for data extraction, manipulation, and reporting.
  • Build and maintain ETL pipelines for seamless data integration across systems.
  • Apply programming expertise in Python and Java for data analysis, automation, and solution development.
  • Utilize GenAI tools and LLMs (Large Language Models) for advanced data-driven insights.
  • Develop and refine prompt engineering techniques to generate accurate SQL queries, summarize findings, and enhance analytical workflows.
  • Translate complex data into clear, actionable insights for business stakeholders.
  • Collaborate with cross-functional teams to identify opportunities for process improvement and data-driven decision-making.

Required Skills & Qualifications:
  • 4–7 years of experience in data analysis, data engineering, or related fields.
  • Strong expertise in SQL (query optimization, joins, stored procedures, performance tuning).
  • Hands-on experience with Python and Java for data analysis and application development.
  • Proven experience with ETL tools and frameworks for data extraction and integration.
  • Exposure to GenAI tools and LLMs for analytics and automation.
  • Ability to apply prompt engineering for generating SQL queries, summarizing outputs, and driving deeper insights.
  • Strong problem-solving skills with a focus on innovation and accuracy.
  • Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.

Nice to Have:
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with data visualization tools (Power BI, Tableau, or Looker).
  • Understanding of machine learning concepts and their application in data analysis.

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