Data Architect

AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

AI & Data professionals will work with our clients to:

• Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
• Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
• Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.

Location: Bengaluru/Hyderabad/Pune/Chennai

Qualifications

Required: 

• 6-9 years of relevant consulting, industry or technology experience 
• Proficiency in cloud architecture design in any of the given areas – AWS/Azure/GCP Architecture.

AWS Architect

• Experience in provisioning and spinning up AWS EC2 instances - on-Demand, Spot, dedicated instances, and cost calculation. 
• Experience with server less architecture (Lambda), API gateway and RESTful services/JSON etc. 
• Experience with one or more relational databases on AWS RDS – Oracle/ SQL Server/ MySQL and/or cloud data warehouse databases such as AWS Redshift 
• Exposure to Data migration facilities such as DMS, S3 COPY, streaming, Kinesis, Batch • Experience in developing applications on AWS Cloud infrastructure. 
• Exposure to DevOps tools, deployment and orchestration technologies such as AWS CodeBuild, CodeDeploy, AWS CodePipeline etc. 
• Experience with monitoring resources and applications using CloudWatch metrics, alarms and logs and tracking user activity, API usage using CloudTrail 
• Experience with cloud assessment and migration on-premise workloads onto AWS. 
• Expertise in AWS Architecture, Automation Tools and understanding of the agile development process. 
• Experience in Migration from on-prem to Cloud using AWS migration tools 
• Experience with VPN connectivity between regions and subnets  
• Experience with Business Continuity and Disaster Recover design, planning and implementation for cloud infrastructures 
• Exposure to one or more - Python, Perl, Ruby or UNIX shell scripting. 
• Experience working with AWS Command line utility (CLI) and SDKs. 
• Exposure to EMR, Elasticsearch, Kinesis, DynamoDB, Athena, WAF, CloudHMS, Direct Connect, Glue, Load balancer 
• Expertise in SPARK programming using Scala or Pyspark or Java 
• Experience with cloud security architectures – Encryption (Rest & Motion)   

Azure Architect

• Hands-on experience with Microsoft Azure and a strong understanding of Azure capabilities and limitations with demonstrated experience in end-to-end deployment of MS Azure BI solution(s)
• Experience in migrating physical or virtualized workloads to the cloud.
• Experience in defining highly available, DR solutions in Azure
• Experience in assessing applications for cloud adoption and define Cloud strategy for enterprise
• Experience in using agile methodologies in implementing Azure solutions. 
• Hands-on experience with Tools for system management, monitoring, automation, and agile development
• Design and develop robust, scalable solutions for collecting, analyzing large data sets, creating, and maintaining data pipelines, data structures and/or support of highly distributed applications
• Exposure to Microsoft Azure data platform, including Azure Data Factory (ADF),Azure Databricks, Azure Data Flow, Azure Cosmos DB, Azure Storage, Azure Synapse Analytics / erstwhile Azure Data Warehouse (SQLDW), Event Hubs, Stream Analytics, Data Lake Store, Data Lake Analytics, U-SQL, HDInsight, Azure Analysis Services, Azure Purview, Power Apps, Power BI and PowerShell Scripting
• Configure large database solutions in Azure using SQL Server / Azure SQL DWH / Synapse and optimize the existing or new solutions as and when needed for optimum performance.
• Build data lake from multiple data sources with ingestion, data gove