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 apply@sciente.com 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