Job Description

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.

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