Data Engineer (Cloud Analytics) (JD#11353)

Job SummarySeeking 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-setMust 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-setExperience with GCP, including BigQuery, Cloud Composer, and Cloud Storage;Exposure to .NET business logic, BI/reporting tools, and analytical data consumption.ResponsibilitiesSupport 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.When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).Confidentiality is assured, and only shortlisted candidates will be notified for interviews.EA Licence No. 07C5639