Data Engineer (Cloud Analytics) (JD#11353)

Job Summary

Seeking a mid-level Analytics Engineer / Data Engineer with strong SQL, Python, data modelling, dbt, orchestration, and modern software engineering skills to support data platform development and modernization.

Mandatory Skill-set

• Must have 3–6 years of relevant Data/Analytics Engineering experience;
• Must have strong hands-on SQL and good Python knowledge;
• Experience in dimensional data modelling and data marts;
• Hands-on experience with dbt or equivalent transformation frameworks;
• Experience with Airflow or equivalent orchestration tools;
• Understanding of semantic layers and business metrics;
• Knowledge of Git, code reviews, testing, and CI/CD;
• Strong understanding of ETL/ELT and data warehouse concepts;
• Ability to troubleshoot data and pipeline issues independently.

Desired Skill-set

• Experience with GCP, including BigQuery, Cloud Composer, and Cloud Storage;
• Exposure to .NET business logic, BI/reporting tools, and analytical data consumption.

Responsibilities

• Support development and modernization of data and analytics platforms;
• Develop and maintain SQL and Python-based data solutions;
• Build dimensional models, fact tables, dimension tables, and data marts;
• Develop data transformations using dbt or equivalent frameworks;
• Build and manage workflows using Airflow or equivalent tools;
• Implement reusable business logic, metrics, and semantic-layer concepts;
• Troubleshoot data and pipeline issues and follow software engineering best practices.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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