DATA ENGINEER
5 days ago
Responsibilities:
Data Architecture & Modeling
Design and implement robust data models using fact and dimension tables, star schema, and snowflake schema approaches.
- Develop and maintain semantic layers and tabular models for reporting and analytics.
ETL / ELT Development
Build, optimize, and maintain data modelling, data pipelines, notebooks using Azure Synapse Analytics, serverless and dedicated pools and SQL databases.
- Integrate data from multiple sources, ensuring accuracy, consistency, and completeness.
- Python / PySpark for data transformation.
Data Analysis & Reporting
Create and maintain Power BI datasets, dashboards, and reports.
- Optimize Power BI data models for performance and usability.
Data Quality & Governance
Implement best practices for data validation, cleansing, and transformation.
- Work closely with stakeholders to ensure data accuracy, integrity, and security compliance.
Performance Optimization
Tune SQL queries, indexes, and data models for maximum efficiency.
- Monitor and improve performance of ETL pipelines and reporting solutions.
Qualifications:
- 3+ years of experience as a Data Engineer or similar role.
- Advanced SQL skills (query writing, stored procedures, performance tuning).
- Strong experience with Azure Data Factory, Azure Synapse Analytics, or Azure SQL
- Proficient in Power BI
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