DataOps Cloud Data Engineer
A company is looking for a DataOps/Cloud Data Engineer - Intermediate. Key Responsibilities Design and develop scalable, efficient data pipelines using Azure Data Factory and Databricks Workflows Optimize pipeline performance for scalability, throughput, and reliability with minimal latency Implement robust data quality, validation, and cleansing processes to ensure data integrity Required Qualifications 5+ years of experience in data engineering with strong proficiency in Python and familiarity with Azure Services Expertise with Azure Data Services: Azure SQL Database, Azure Data Lake, Azure Databricks Experience with data pipeline development, orchestration, deployment, and automation using ADF and Databricks Solid understanding of data warehousing and ETL concepts Familiarity with DataOps principles and Agile methodologies
A company is looking for a DataOps/Cloud Data Engineer - Intermediate.
Key Responsibilities
Design and develop scalable, efficient data pipelines using Azure Data Factory and Databricks Workflows
Optimize pipeline performance for scalability, throughput, and reliability with minimal latency
Implement robust data quality, validation, and cleansing processes to ensure data integrity
Required Qualifications
5+ years of experience in data engineering with strong proficiency in Python and familiarity with Azure Services
Expertise with Azure Data Services: Azure SQL Database, Azure Data Lake, Azure Databricks
Experience with data pipeline development, orchestration, deployment, and automation using ADF and Databricks
Solid understanding of data warehousing and ETL concepts
Familiarity with DataOps principles and Agile methodologies
