Dimiour - Azure Data Engineer - ETL
2 weeks ago
Responsibilities:
- Design and implement optimal data pipeline architecture for scalable and reliable data processing.
- Develop and maintain complex data pipelines to extract, transform, and load data from various sources, including Snowflake, utilizing SQL and Azure Big Data technologies (e.g., Data Factory, Databricks, Data Lake).
- Collaborate with business stakeholders to understand data requirements and align data pipelines with business objectives.
- Identify opportunities for process improvement, including automation of manual tasks, data delivery optimization, and infrastructure redesign for scalability.
- Build and maintain data pipelines that deliver high-quality data for analytics.
- Design and develop analytics tools that leverage the data pipeline to provide actionable insights into key business metrics like customer acquisition and operational efficiency.
- Troubleshoot Azure cloud services and address production issues related to performance tuning and enhancement.
- Document data pipelines and maintain clear and concise technical Hands-on experience with Snowflake as the cloud data warehouse.
- Strong expertise in building and managing data pipelines using Azure Data Factory, Databricks, and Azure Data Lake.
- Proficiency in SQL and scripting languages (e.g., Python).
- Strong analytical skills with a good understanding of data structures and algorithms.
- Excellent problem-solving and troubleshooting skills.
- Experience in designing and implementing data quality checks.
- Strong communication and collaboration skills.
Bonus Points:
- Experience with cloud automation tools (e.g., ARM templates).
- Experience with data governance frameworks.
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
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