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.

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.
Relevant certifications in Azure data services or data engineering are a plus.

Azure Data Engineer

Key skills