Azure / AWS - DataOps Engineer

We are seeking a highly skilled and motivated Senior DataOps Engineer with strong expertise in the Azure/AWS data system. You will play a crucial role in managing and optimizing data workflows across Cloud platforms such as Azure/AWS - Data Factory, Data Lake, Databricks, and Synapse.

Your key responsibilities

• Data Pipeline Management: Build, monitor, and optimize data pipelines using Azure/AWS Data Factory (ADF), Databricks, and Azure/AWS Synapse for efficient data ingestion, transformation, and storage.
• ETL Operations: Design and maintain robust ETL processes for batch and real-time data processing across cloud and on-premise sources.
• Data Lake Management: Organize and manage structured and unstructured data in Azure/AWS Data Lake, ensuring performance and security best practices.

Location

To qualify for the role, you must have

• 2 - 6 years of experience in DataOps or Data Engineering roles
• Proven expertise in managing and troubleshooting data workflows within the Azure/AWS ecosystem
• Experience working with Informatica CDI or similar data integration tools
• Scripting and automation experience in Python/PySpark
• Ability to support data pipelines in a rotational on-call or production support environment

To know more about the opportunity click on below Link and apply for the role

Azure Link

AWS Link