Azure consultant jobs in Whitefield Bangalore

Azure consultant jobs for a leading client based in Whitefield Bangalore

About the Client

Forrester has mentioned the client in its Now Tech: Insights Service Providers, Q1 2020 Report. This report provides a holistic view to the enterprises about vendors who can deliver end-to-end data-to-insights-to-execution engagements, drive significant change. Furthermore, stakeholder management to ensure insights implementation. Additionally, accelerate time-to-value for insights based on size, functionality, geography and vertical market focus.

According to Forrester, Change is hard. Besides, insights providers can help: 36% of global data and analytics decision-makers engage insights service providers. Furthermore, the provider is more effective at organizing and coordinating the business and technology stakeholders in our firm.

The client’s uniqueness is in bringing the right mix of technology and business analytics to create white-box solutions. Besides, that are typically transitioned to our clients at the end of the engagement in a sustainable way. Moreover, The client does this cost-effectively using a global execution model leveraging our clients’​ existing technology and data assets.

We think this timely inclusion as an Insight service provider in Forrester’s Report will propel our clients to take advantage of the cutting-edge analytics solutions. Furthermore, apply it to new & diverse data sources which they might not have been able to produce earlier.

Job Description for Jobs in Whitefield Bangalore

The role of an Azure consultant job 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.

Azure consultant jobs mist Have:

• Minimum 2 years of software development experience.
• Bachelor’s and Master’s degree in computer science.
• Besides, Strong Consulting skills in data management including data governance, data quality, security, data integration, processing and provisioning.
• Additionally, Led and delivered data management projects in the Azure Cloud.
• Moreover, Translated complex analytical requirements into the technical design, including data models, ETLs and Dashboards / Reports.
• Furthermore, Experience deploying dashboards and self-service analytics solutions on both relational and non-relational databases.
• Likewise, Experience with different computing paradigms in databases such as In-Memory, Distributed, Massively Parallel Processing.
• Furthermore, Successfully delivered large scale data management initiatives covering Plan, Design, Build and Deploy phases leveraging different delivery methodologies, including Agile.
• Nevertheless, Strong knowledge of continuous integration, static code analysis and test-driven development.
• Further, 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.
• Lastly, 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.

Responsibilities for jobs in Whitefield Bangalore

• Firstly, Translate functional requirements into technical design.
• Secondly, Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfil the technical plan.
• Besides, Design, Develop and Deliver data integration interfaces in ADF and Azure Databricks.
• Moreover, Design, Develop and Deliver data provisioning interfaces to meet consumption needs.
• Deliver data models on the Azure platform. It could be on Azure Cosmos, SQL DW / Synapse or SQL.
• Advise clients on ML Engineering and deploying ML Ops at Scale on AKS.
• Likewise, Automate core activities to minimize the delivery lead times and improve the overall quality.
• Additionally, Optimize platform cost by selecting the right platform services and architecting the solution cost-effectively.
• Besides, Deploy Azure DevOps and CI-CD processes.
• Lastly, Deploy logging and monitoring across the different integration points for critical alerts.

Desirable Skills: Spark, Python, Kubernetes

Department: Technology

Designation: Technology Consultant

Open Positions:4

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