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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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Skills

Business Intelligence and Data Analytics, Airflow, Data Modelling, Data Transformation, Data Analytics System Design, Workflow Development, Relaxation, DBT, PyTorch, SQL, Business Logic, Python, Data Marts, Cloud-based, Semantic Layer, Dimensional Modeling, GCP, Pattern Recognition, Orchestration, SQL Development