Qualifications
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
Solid 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

📌 Se/Sse/Tc - Azure (Bengaluru)
🏢 Kit'S
📍 Bengaluru