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1 day ago
Effective data pipelines are built on the principles of coherence and scalability. As a Senior Informatica Engineer, you will be responsible for crafting cloud-based Extract, Transform, Load (ETL) solutions using Azure services.
We seek a highly experienced professional with 8-12 years of experience in developing scalable ETL pipelines with Azure Data Factory and related services. They should possess strong hands-on experience in Informatica and cloud-based analytics.
This role requires collaboration with data architects, analysts, and business stakeholders to gather requirements and deliver efficient data solutions. The ability to work closely with data scientists to build effective data workflows is also essential.
Key responsibilities include:
- Designing, developing, and maintaining scalable ETL pipelines using Azure Data Factory and related services.
- Processing, transforming, and loading large datasets into AWS Datalake or other data stores.
- Implementing data validation and cleansing procedures to ensure data quality and integrity.
Desirable skills include knowledge of Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI, Python, and experience in developing security models.
If you're ready to take on exciting challenges and work with cutting-edge cloud technologies, we would appreciate your application.
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