
Senior Data Engineer
1 day ago
Key Responsibilities and Roles:
- Responsible for constructing and maintaining data pipelines that extract, transform, and load data from diverse data sources into centralized repositories, such as data warehouses, lakehouses, and databases.
- Implement physical data models to effectively structure and organize data for efficient storage and analysis, while ensuring data integrity optimization.
- Develop processes to transform raw data into a usable format for analysis and reporting purposes, including data cleanup and deduplication.
- Integrate data from disparate sources and ensure data quality and consistency throughout the data pipeline.
- Oversee database management activities, including database design, administration, optimization, and performance enhancement.
Required Competencies:
- Bachelor's degree in Computer Science, Information Technology, Mathematics, or an equivalent field.
- Minimum of 6 years of hands-on progressive experience in Data Engineering.
- At least 6 years of experience in ETL, ELT, data warehousing, and data modeling.
- At least 3 years of delivering solutions on the Microsoft Azure Platform, with exposure to data solutions and services such as Microsoft Fabric, and Data Factory.
- Proficiency in PySpark or Python, T-SQL scripting and strong technical knowledge of databases.
- Expertise in designing, building, and maintaining data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems such as data warehouses or lakehouses.
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