Data Engineer
1 week ago
**Responsibilities**:
- Design and implement data storage solutions using Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Develop and maintain data pipelines for ingestion, processing, and transformation using Azure Data Factory or similar tools.
- Build and optimize data models to support analytics and reporting needs.
- Work with Azure Databricks and Apache Spark to assemble and process large, complex data sets.
- Implement data validation, cleansing, and quality assurance procedures.
- Optimize database performance for efficient query execution.
- Ensure data security, privacy, and compliance with organizational standards.
- Collaborate with data engineers, analysts, and other stakeholders to deliver reliable and scalable data architectures.
- Participate actively in Agile/Scrum ceremonies and contribute to sprint deliverables.
**Job Requirements**:
- 10+ years of total IT experience, with at least 5+ years in data engineering.
- Strong hands-on experience with the Azure stack (Data Factory, Databricks, Data Lake, SQL Database, Blob Storage).
- Proficiency in SQL and Python.
- Experience with ETL processes and data integration frameworks.
- Knowledge of data modeling, data warehousing, and big data technologies.
- Familiarity with Azure DevOps and data governance best practices.
- Excellent problem-solving, communication, and collaboration skills.
Desired Skills:
- Experience in optimizing ETL and data transformation workflows.
- Exposure to advanced analytics or machine learning integration on Azure platforms.
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