
Cloud-Based Data Engineer
12 hours ago
We are seeking an experienced and skilled professional to take on the role of designing, developing, and maintaining scalable ETL pipelines using cloud-based technologies.
The successful candidate will be responsible for integrating data into modern data platforms, collaborating with cross-functional teams to gather requirements and deliver efficient data solutions, and working closely with data scientists to build effective data workflows.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines using cloud-based technologies.
- Process, transform, and load large datasets into various data stores.
- Collaborate with data architects, analysts, and business stakeholders to gather requirements and deliver efficient data solutions.
- Work closely with data scientists to build effective data workflows.
- Create and manage data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Implement data validation and cleansing procedures to ensure data quality and integrity.
- Monitor and troubleshoot data pipeline issues to ensure data availability and consistency.
- Optimize pipelines for scalability, performance, and cost-efficiency.
Required Skills:
- Strong hands-on experience in Informatica and cloud-based analytics.
- Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure Data Lake & Azure App Service.
- Experience with API ingestion and streaming ingestion methods.
- Familiarity with Dev Ops (CI/CD) and Infrastructure as Code.
- Strong understanding of data warehouse modeling (Kimball, Inmon).
Desirable Skills:
- Knowledge of Azure Databricks, Azure Io T, Azure HDInsight + Spark, Azure Stream Analytics, Power BI.
- Working knowledge of Python & Experience in developing security models.
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