Data Engineer (Cloud Analytics)

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

[HIDDEN TEXT]

at the earliest.

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