Engineer – Data Backend - Python
REA Group (company site, opens in a new tab)2–4 yrsGurugramRemoteDirect career pageEst. 9–16 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, maintain, and enhance scalable, reliable data pipelines and backend systems using Python, SQL, and Airflow.
- Work with large-scale customer and behavioural datasets to support analytics, machine learning, personalisation, recommendations, and product insights.
- Collaborate with cross-functional teams to deliver data solutions and troubleshoot production issues ensuring operational stability.
Minimum Requirements
- 2-4 years of experience in backend, data engineering, or platform engineering roles.
- Strong programming skills in Python with clean, maintainable, and well-tested code practices.
- Proficient in SQL and experience with data pipelines (design, develop, maintain).
- Experience with Airflow or similar workflow orchestration; familiarity with at least one cloud platform (AWS, Azure, or GCP).
Ideal Candidate Profile
- Experienced working with large-scale data environments supporting analytics and machine learning use cases.
- Proficient in building reliable and maintainable backend data systems with a focus on data quality and operational stability.
- Comfortable in collaborative, fast-paced teams interfacing with product and analytics stakeholders, contributing to continuous improvement.