
Chief Data Architect
2 weeks ago
Role Overview
We are seeking an experienced Data Engineer to design, build, and optimize end-to-end data solutions.
- Data Engineering & Architecture:
- Design and implement data solutions using Azure Synapse Analytics, Databricks.
- Build data models for scalable data processing, endpoint processing, and integration.
- Develop and optimize data pipelines (real-time, batch).
- Data Modeling & Analytics:
- Create semantic models and dimensional models in Power BI.
- Build enterprise dashboards, paginated reports, and self-service analytics solutions.
- Implement row-level security, complex DAX measures, and model optimizations.
- Platform Operations & Governance:
- Apply DataOps practices, monitoring, and performance tuning.
- Ensure data security, quality, and governance.
- Integrate predictive analytics with Azure ML.
Key Responsibilities include:
- 5–7 years of data engineering experience.
- Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI.
- Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
Required Qualifications
- Bachelor’s degree in computer science, Data Science, Engineering or related field.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
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