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Enable Data Incorporated is currently seeking a skilled and experienced Azure Data Engineer to join our dynamic team. As a leading provider of advanced application, data, and cloud engineering services, Enable Data has developed deep expertise across various industries. We work closely with our customers to leverage modern solutions and technologies to drive increased value across their business ecosystem. As an Azure Data Engineer, you will play a crucial role in designing, building, and maintaining scalable and reliable data solutions on the Microsoft Azure platform. You will work closely with cross-functional teams to understand data requirements, design and implement data ingestion pipelines, perform data integration and transformation, and implement data storage and retrieval mechanisms. You will also be responsible for monitoring data pipelines and implementing data quality and governance measures. This is an exciting opportunity for a talented Data Engineer who is passionate about working with Azure technologies and wants to contribute to the success of our clients. If you have strong technical skills, a deep understanding of data engineering principles, and hands-on experience with Microsoft Azure, we would love to hear from you.
Job Responsibility:
Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform
Collaborate with cross-functional teams to gather and analyze data requirements
Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability
Perform data integration and transformation activities, ensuring data quality and consistency
Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage
Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability
Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy
Collaborate with data scientists and analysts to support their data needs and enable data-driven insights
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of experience with Big Data technologies
Strong knowledge and experience with Microsoft Azure cloud platform
Proficiency in SQL and experience with SQL-based database systems
Experience with batch and data streaming
Proficiency in data processing frameworks such as Apache Spark, Apache Hadoop, or cloud-native data processing services (Azure Data Lake, Azure Data factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB)
Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage
Experience using Azure Databricks in real-world scenarios
Experience with data integration and ETL (Extract, Transform, Load) processes
Strong analytical and problem-solving skills
Good understanding of data engineering principles and best practices
Experience with programming languages such as Python or Scala
Nice to have:
Relevant certifications in Azure data services or data engineering are a plus