Azure Cosmos Data Engineer

CloudIngest is a company specializing in data solutions, and they are seeking an Azure Cosmos Data Engineer. The role involves building end-to-end data pipelines and working with Azure Synapse and Cosmos DB to support enterprise applications with large datasets.

Responsibilities:

• Strong experience building end-to-end data pipelines (ETL/ELT)
• Hands-on with cloud platforms (Azure preferred)
• Experience working on enterprise/global applications with large datasets
• Strong hands-on experience with Azure Cosmos DB (required)
• Min 2 years Experience with Azure Synapse Analytics (required) for analytics and data warehousing
• Experience with Azure Data Factory, Databricks (PySpark), and Data Lake
• Strong programming in Python, SQL, PySpark
• Good understanding of SQL + NoSQL databases
• Experience in international data mapping / data standardization across regions
• Exposure to distributed systems and multi-region data processing
• Understanding of data partitioning, replication, and performance optimization
• Experience supporting global applications / enterprise-wide analytics platforms
• Strong collaboration with cross-functional and global teams
• Ability to translate business requirements into data solutions
• Experience working in fast-paced, high-impact environments
• Ownership mindset (handling large-scale, business-critical pipelines)

Requirements:

• Expertise in Azure Synapse, Cosmos DB for potential role
• Experience in international data mapping, data conversion, set up
• Azure Synapse Analytics: Data integration, big data processing
• Databricks: Apache Spark, Delta Lake, notebooks
• SQL: Advanced querying, performance optimization, database management
• PySpark: ETL processes, data transformation, performance tuning
• Data Pipelines: Design, development, orchestration, monitoring
• Data Modeling & Database Design: Schema design, normalization/denormalization
• ETL/ELT Tools: Azure Data Factory
• NoSQL Database: Azure Cosmos DB
• Relational Database: SQL Server and Oracle
• Version Control Systems: Git proficiency
• Strong experience building end-to-end data pipelines (ETL/ELT)
• Hands-on with cloud platforms (Azure preferred)
• Experience working on enterprise/global applications with large datasets
• Strong hands-on experience with Azure Cosmos DB
• Min 2 years Experience with Azure Synapse Analytics for analytics and data warehousing
• Experience with Azure Data Factory, Databricks (PySpark), and Data Lake
• Strong programming in Python, SQL, PySpark
• Good understanding of SQL + NoSQL databases
• Experience in international data mapping / data standardization across regions
• Exposure to distributed systems and multi-region data processing
• Understanding of data partitioning, replication, and performance optimization
• Experience supporting global applications / enterprise-wide analytics platforms
• Strong collaboration with cross-functional and global teams
• Ability to translate business requirements into data solutions
• Experience working in fast-paced, high-impact environments
• Ownership mindset (handling large-scale, business-critical pipelines)