Data Engineer (Cloud Analytics) (JD#11353)

About this role

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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