Cloud Data Pipeline Specialist

1 day ago


Mysore, Karnataka, India beBeeInformatician Full time ₹ 20,00,000 - ₹ 30,00,000
Job Description:

We are seeking a highly experienced Informatica Engineer to design and develop cloud-based ETL pipelines using Azure services and integrate data into AWS Datalake or other modern data platforms.

This role involves working on cutting-edge cloud technologies to design, develop, and maintain scalable ETL pipelines using Azure Data Factory and related services.

The successful candidate will be responsible for processing, transforming, and loading large datasets into AWS Datalake or other data stores, collaborating with data architects, analysts, and business stakeholders to gather requirements and deliver efficient data solutions.

  • 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 and Qualifications:Key Responsibilities:

A strong understanding of data warehouse modeling (Kimball, Inmon) and experience with API ingestion and streaming ingestion methods is essential.

Familiarity with DevOps (CI/CD) and Infrastructure as Code is also required.

  • 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).
Benefits:

This role is ideal for individuals who are passionate about working with cutting-edge cloud technologies and want to take on exciting challenges.



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