SE/SSE/TC - Azure

The role requires experience in Azure core technologies - Azure Data Lake Storage, Azure Data Lake Analytics, Azure Cosmos, Azure Data Factory, Azure SQL Database, Azure HDInsight, SQL data warehouse.

You Have:

• Minimum 2 years of software development experience
• Bachelor's and/or Master s degree in computer science
• Strong Consulting skills in data management including data governance, data quality, security, data integration, processing and provisioning
• Led and delivered data management projects in Azure Cloud
• Translated complex analytical requirements into technical design including data models, ETLs and Dashboards / Reports
• Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases
• Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing
• Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies including Agile
• Strong knowledge of continuous integration, static code analysis and test-driven development
• Experience in delivering projects in a highly collaborative delivery model with teams at onsite and offshore
• Must have Excellent analytical and problem-solving skills
• Delivered change management initiatives focused on driving data platforms adoption across the enterprise
• Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations

Location:

Bengaluru, Karnataka, India

Experience:

2 to 8 Years

Skills Required:

Azure Data Lake, Data Factory, SQL database

Roles:

You Will:

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detai and determine core Azure services needed to fulfill the technical design
• Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks
• Design, Develop and Deliver data provisioning interfaces to fulfill consumption needs
• Deliver data models on Azure platform, it could be on Azure Cosmos, SQL DW / Synapase or SQL
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS
• Automate core activities to minimize the delivery lead times and improve the overall quality
• Optimize platform cost by selecting right platform services and architecting the solution in a cost effective manner
• Deploy Azure DevOps and CI CD processes
• Deploy logging and monitoring across the different integration points for critical alerts

Desirable Skills:

Spark, Python, Kubernetes

Department:

Technology

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.