
Senior Informatica Engineer
2 days ago
Cloud Data Engineer - ETL Pipelines
We're seeking a highly experienced Cloud Data Engineer who can design and develop scalable cloud-based ETL pipelines using Azure services and integrate data into AWS Datalake or other modern data platforms.
The ideal candidate will have strong hands-on experience in Informatica and cloud-based analytics, as well as expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure Data Lake & Azure App Service.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines using Azure Data Factory and related services.
- Process, transform, and load large datasets into AWS Datalake or other 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 DevOps (CI/CD) and Infrastructure as Code.
- Strong understanding of data warehouse modeling (Kimball, Inmon).
Desirable Skills:
- Knowledge of: Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI.
- Working knowledge of Python & Experience in developing security models.
If you're ready to take on exciting challenges and work with cutting-edge cloud technologies, we'd love to hear from you.
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