Senior Data Analytics Engineer

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
7+ years
Required Skills
PythonSQLFastAPIData modelingBigQuery

Requirements

  • 7+ years of experience in data engineering, analytics engineering, or a related technical data role.
  • Expert-level SQL skills with hands-on experience in BigQuery and MariaDB.
  • Strong proficiency in Python (or JavaScript) for building data pipelines, APIs, and automation systems.
  • Experience with modern backend frameworks such as FastAPI or similar tools.
  • Deep understanding of data architecture, including schema design, data modeling, and pipeline orchestration.
  • Hands-on experience with AI/ML concepts, including LLMs, embeddings, or generative AI applications.
  • Familiarity with AI-assisted development tools such as Cursor, Windsurf, Gemini, Claude, or similar platforms.
  • Strong problem-solving and analytical thinking with ability to work independently end-to-end.
  • Excellent communication skills.
  • Proven ability to manage multiple priorities in a fast-paced, self-directed environment.
  • A public GitHub profile demonstrating real-world projects.

Responsibilities

  • Design, build, and maintain scalable data pipelines and analytics infrastructure using BigQuery and MariaDB.
  • Write advanced SQL queries to extract, transform, and analyze large-scale datasets for business insights.
  • Develop internal tools, APIs, and automation workflows using Python and modern frameworks such as FastAPI.
  • Build and optimize data models, ensuring clean architecture, maintainable schemas, and efficient data flow across systems.
  • Collaborate with stakeholders to translate business requirements into technical solutions and actionable analytics.
  • Implement and enhance data quality, monitoring, and reliability frameworks across pipelines and systems.
  • Leverage AI-powered development tools to improve productivity and solution quality.
  • Contribute to documentation of data architecture, lineage, and system dependencies.
  • Identify opportunities for process improvement, automation, and advanced analytical capabilities.
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