SQL Server, Stream Analytics, CosmosDB, ETL Fundamentals, Purview, SQL, Event Hub, SQL (Basic + Advanced), Python, Data Warehousing, ADLS G2, AZure Monitoring, Synapse, Data Factory, Logic App, Modern Data Platform Fundamentals, Databricks, Data Explorer, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures, Blob
Job requirements
Job Description:
You will work as Data architect who is familiar with Cloud based architectures and DW/BI/Analytics domain knowledge with experience in Microsoft Azure.
You will partner closely with the clients to deliver state-of-the-art Data solutions.
You will clearly articulate and communicate with a diverse set of internal and external stakeholders with varying degrees of technical proficiency and deliver critical business and process related information to mitigate any risks or failures.
You will persistently look for opportunities to address customer needs by being a thought partner in every moment of engagement
Your profile: Must Have:
11+ years of experience in Data and Analytics
2+ years of experience as a Data Architect
3+ years of experience in Architecting, designing and implementing Modern Data Platforms and Solutions using Microsoft Azure Cloud and understands reference architectures.
Deep understanding Data Migration Strategies with 2+ years of experience in Data Migration and Modernization
Strong hands-on experience in ETL/ELT methods using Spark or any of the ETL tools like ADF, Databricks, Synapse and any other ETL tool
Strong hands-on experience in SQL, Advanced SQL, Stored Procedures
Hands-on experience in Pyspark, Python, Databricks, Synapse,
Strong understanding or Data Modelling Concepts and deep understanding of Star, Snowflake, Denormalized Schema models. Knowledge of Data Vault modelling
Excellent Analytical and Data Analysis skills
Deep Expertise in following Microsoft Azure Data Services is must – Azure Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse Analytics
Working knowledge of Microsoft Fabric roadmap and integration with other Azure data services.
Good to Have:
Work experience in Data Solutioning, Pre-sales, RFP Support, Consulting and Advisory is preferred
DevOps, CI/CD in Azure Native tools or General DevOps tools is preferred
Strong understating of Data Management methods, principles and tools are preferred – Data Quality, Metadata Management, Data Cataloguing, Data Lineage, Data Security and Compliance, Azure Purview, Alation, Collibra
Understanding of Real-time data analytics and good understanding and experience in following Microsoft Azure Data Services is good to have – Azure Event Hub, Azure IOT Hub, Azure Stream Analytics, Azure Data Explorer, Azure Logic App
Azure DP-203 certification is preferred
Good Understanding of other MPP Data warehouses or Cloud Data warehouses like Snowflake, Redshift, Teradata, Data stage etc. Is preferred.
Stay current with emerging Microsoft Fabric capabilities, Azure features, and industry trends to recommend innovative solutions.
