We are seeking an Analytics Engineer to join our team. In this role you will transform raw data into reliable, well-structured datasets that enable business intelligence and strategic decision‑making.

Key responsibilities

- Design, develop, and maintain scalable data transformation pipelines.

- Build and manage data models using SQL and dbt.

- Develop and maintain data warehouses and data marts.

- Implement data quality testing, validation, and monitoring.

- Collaborate with data analysts, product managers, and business stakeholders to understand reporting requirements.

- Optimize SQL queries and improve data warehouse performance.

- Maintain documentation for data models, workflows, and transformations.

- Ensure data consistency, accuracy, governance, and security.

Required qualifications





- Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field.

- 3–8 years of experience in Analytics Engineering, Data Engineering, or a related role.

- Solid expertise in SQL, Python, and data transformation using dbt.

- Hands‑on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.

- Proven ability to design scalable, reusable data models and implement ETL/ELT pipelines.

Nice to have

- Experience with modern data stack architectures and CI/CD workflows for analytics.

- Familiarity with Agile development methodologies and data governance best practices.

📌 Analytics Engineer (India)
🏢 EdgeQ Technologies Private
📍 India