Job Location: Remote

Technical Requirements

• Requires solid experience with Azure and hands-on experience in implementing (development / testing / deployment / hypercase-support) big data applications using
• Apache Spark  (Databricks or Data Flow)
• Azure Data Factory
• Azure Storage – ADLS Gen2 & Other storage options within Azure ecosystem
• Azure SQL Database
• Cosmos DB
• Synapse (SQL + Spark)
• Azure DevOps & CI/CD
• Azure Security like Key Vault & its integration with Azure services.
• Overall experience working with Azure Portal + Azure CLI
• Solid understanding of SQL alongside traditional/conventional data warehousing design patterns
• Good understanding of scripting language (preferred Bash)
• Develop analytical functionality and complex transformation that will be finally deployed in production data platforms
• Hands-on experience troubleshooting, optimizing, and enhancing data pipelines and bringing improvements
• Experience & good proficiency with at least one programming language (preferred Python)
• Worked and deployed at least one data engineering application using Azure cloud-native data platform
• Strong troubleshooting and performance tuning skills
• Very well versed with continuous integration and deployment procedure
• Ability to analyze business requirement user stories and translate them into system requirement specifications
• Experience working under the agile delivery methodology

Behavioral Requirement

• Demonstrated ability to work independently as well as with team and customer/client stakeholders
• Good communication skills and documentation (project/process/product as applicable) skills
• Good & collaborative team player with in-house team as well as hybrid team where there are members from client side, vendor side as well as in-house resources
• Good organizational and time management skills
• An ability to work to deadlines
• A good eye for detail
• Must be ready to learn and adapt to new technologies

Qualifications Requirements

• BE/BTech in Computer Science or MCA with sound industry experience
• A minimum of 5 years’ experience in hands-on development in production ready big data engineering solutions
• Solid Programming Language Experience (Java or Scala or Python) (Production Grade)
• Work iteratively in a team with continuous collaboration

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