Senior Azure Data Engineering Director
6 days ago
**Job Title:** Senior Azure Data Engineering Manager
We are seeking an experienced Senior Azure Data Engineering Manager to join our team at OSBIndia Private Limited. The successful candidate will be responsible for leading the design, implementation, and maintenance of large-scale data engineering projects on Azure.
**Key Responsibilities:**
- Design and implement data pipelines using API ingestion and streaming ingestion methods
- Develop and maintain large-scale data engineering solutions on Azure
- Lead a team of data engineers to deliver high-quality data engineering projects
- Collaborate with cross-functional teams to identify business requirements and develop data engineering solutions
- Stay up-to-date with the latest Azure data engineering technologies and best practices
**Requirements:**
- Overall 1215 years of IT experience preferably in data and analytics implementation
- 78 years of data engineering (both on-prem and Azure) delivery experience, including architecture/analysis/development/configuration/deployment
- 45 years of implementation experience in Azure data engineering projects
- Expert-level understanding of Azure data factory, Azure Synapse, Azure SQL, Azure data lake, Databricks, and Azure App Service
- Extensive hands-on experience implementing data migration and data processing using Azure services: serverless architecture, Azure storage, Azure SQL DB/DW, data factory, Azure Stream Analytics, Azure Analysis Service, Databricks, Azure data catalog, Cosmos DB, Azure functions, ARM templates, Azure DevOps, CI/CD, etc.
- Expert-level knowledge of distributed data processing frameworks: Spark (core, streaming, SQL), Storm, or Flink, etc.
- Expert-level knowledge of distributed messaging and ingestion frameworks: Kafka, Pulsar, Pub/Sub, etc., and good knowledge of traditional ETL tools like Informatica, SSIS, etc.
- Should have worked on any NoSQL solutions like MongoDB, Cassandra, HBase, Cosmos DB, etc., or cloud-based NoSQL offerings like DynamoDB, Big Table, etc.
- Good exposure in development with CI/CD pipelines
- Knowledge of containerization, orchestration, and Kubernetes engine would be an added advantage
- Strong problem-solving and troubleshooting skills
- Experience in working in a fast-paced agile environment
- Proven experience in people management, hiring, and capability building
- Strong experience in common data warehouse modeling principles, including Kimball, Inmon
- Experience with data visualization tools like Power BI
- Experience in streaming and batch architecture (e.g., Kafka, Kafka streams, Spark, Flink)
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