
Cloud Data Engineer
1 week ago
Job Description:
We are seeking an experienced Cloud Data Engineer to join our team. As a Cloud Data Engineer, you will be responsible for designing and delivering scalable ETL pipelines using cloud-based services.
About the Role:
The ideal candidate will have strong hands-on experience in Informatica and cloud-based analytics. You will work closely with data architects, analysts, and business stakeholders to gather requirements and deliver efficient data solutions.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines using cloud-based services such as Azure Data Factory and AWS Datalake.
- Process, transform, and load large datasets into data stores.
- Collaborate with data scientists to build effective data workflows.
- Create and manage data storage solutions.
- 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.
Benefits:
This role offers a challenging and rewarding opportunity to work on complex data engineering projects. You will have the opportunity to work with a talented team of engineers and scientists to design and deliver innovative data solutions.
Others:
If you are passionate about working with data and want to take your career to the next level, we encourage you to apply for this exciting opportunity.
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