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Data Engineer - Snowflake

location India, Willingness to travel onsite at short notice as required
suitcase-blue-iconConsulting
clock-blue-iconFull time, Permanent
Highlights
suitcase-blue-icon Experience
3-5 Years
suitcase-blue-icon Joining Date
Immediate or max 30 days’ Notice Period
suitcase-blue-icon Qualification
Bachelor's or Master's in Computer Science, Information Technology, Engineering, or related field
Job Description

Beinex is looking for talented Snowflake Data Engineers to join our growing data team. You will work on building scalable data pipelines, developing analytics-ready data models, and delivering high-quality data solutions using Snowflake, dbt, Dagster, and Qlik.

If you're passionate about modern data engineering, cloud-based data platforms, and transforming complex data into actionable insights, especially within the insurance domain, we'd love to hear from you. We are looking for proactive, hands-on professionals who take ownership and get things done.

Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, transforming, and modeling insurance data (claims, policies, premiums, customers, brokers, etc.).
  • Develop and manage analytics-ready data models using dbt following best practices (testing, documentation, version control).
  • Implement and orchestrate workflows using Dagster (or similar tools such as Airflow or Prefect).
  • Build and optimize data warehouses and data marts in Snowflake.
  • Ensure data quality, reliability, and governance through automated tests, monitoring, and documentation.
  • 3–5 years of experience in data engineering, analytics engineering, or similar roles.
  • Experience with BI and analytics tool Qlik.
Key Skills & Requirements

  • Design, build, and maintain scalable data pipelines for ingesting, transforming, and modeling insurance data (claims, policies, premiums, customers, brokers, etc.).
  • Develop and manage analytics-ready data models using dbt following best practices (testing, documentation, version control).
  • Implement and orchestrate workflows using Dagster (or similar tools such as Airflow or Prefect).
  • Build and optimize data warehouses and data marts in Snowflake.
  • Ensure data quality, reliability, and governance through automated tests, monitoring, and documentation.
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