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Senior Data Solutions Specialist

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Rajkot, Gujarat, India beBeeDataEngineer Full time ₹ 9,00,000 - ₹ 12,00,000
Job Description

We are seeking a skilled professional to design and maintain robust data pipelines, reporting tools, and AI-driven solutions that empower our stakeholders with actionable insights.

  • The ideal candidate will have experience designing scalable data pipelines, developing interactive dashboards, and troubleshooting data-related issues.
  • They will collaborate cross-functionally with teams across the business to deliver innovative solutions to complex data challenges.
Required Skills and Qualifications

Technical Expertise:

  • BigQuery: Experience in storing, querying, and analyzing large datasets efficiently and at scale.
  • Cloud Composer (Apache Airflow): Orchestration and scheduling of complex data workflows.
  • Cloud Run / Cloud Functions: Event-driven and microservice-based scripts and applications.
  • Google Apps Script: Automation of workflows and interactions across Google Workspace tools like Sheets and Gmail.
  • Looker Studio: Dynamic dashboard and report building for business KPI monitoring and storytelling.
  • Python: Data transformations, automation of repetitive tasks, and integration of APIs or machine learning models.
  • Prompt Engineering (AI/LLMs): Development of AI assistants and tools for data summarization, analysis, and automated reporting.

Professional Requirements:

  • 5+ years of data engineering experience, ideally working within a Google Cloud Platform environment.
  • Proven experience designing and maintaining data pipelines and workflows using modern cloud technologies.
  • Strong proficiency with BigQuery, Cloud Composer, and Python scripting.
  • Hands-on experience building dashboards and reports in Looker Studio or similar BI tools.
  • Solid understanding of Google Cloud's serverless solutions like Cloud Run and Cloud Functions.
  • Experience using Google Apps Script to automate Google Workspace tasks.
  • Familiarity with prompt engineering and integrating LLMs for data-related use cases is highly desirable.
  • Excellent problem-solving skills and ability to translate complex data requirements into actionable solutions.
  • Strong communication skills with the ability to collaborate effectively across technical and non-technical audiences.
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