Responsibilities:

• Work with team of Architects and Designers to come up with end-to-end solutions to build data platforms on top of Azure.
• Design and build scalable systems with Azure: use best practices and reducing Azure operational costs.
• Work on projects ingesting large amount of diverse data streams an organize them into our database (experience with Kafka etc. are highly valued).
• Infrastructure and Docker container management.
• Analyzing ETL or ELT napping logic and writing complex SQL queries to recreate logic.
• Build custom python integrations and plugins to support automation and business functions.
• Create Cl/CD pipelines tor Azure infrastructure, configuration and app deployments.
• Work on infrastructure automation using Ansible.
• Demonstrate excellent customer facing skills.

Experience in:

• Development, Automation or DevOps space.
• Programming/Scripting - Bash, Python, PowerShell, Ruby
• Infra (Network, Storage, Linux & Windows and System Administration) Knowledge.
• Experience with Azure Cloud (Azure laaS), AWS is OK but Azure is preferred.
• Experience in automating infrastructure, testing, and deployments in Cloud with tools like Puppet, Chef, Ansible, code repo & version control, CI/CD Tools (Ex Git, jenkins etc)
• Knowledge of Network protocols, troubleshooting DNS, TCP/IP, SMTP, SSH, SFTP, SSL.
• Experience in Big Data components such as Azure Databricks, ADLS, Kafka, Spark SQL, HIVE DB etc.
• Experience with Monitoring different Azure Services for errors and notifications.
• Experience with Azure loT Edge is preferred.
• Excellent Programming skills.
• Excellent communication skills. Technology Stack: Data Factory, Data Lake Store (gen 2), Databricks, Synapse Analytics, Cosmos DB, Azure SQL, Azure Analysis Services.