You are an expert in Azure Data Analytics having thorough understanding of Azure Data Platform tools.
Expertise and hands on experience in at least 4 tools on Azure Platform among: Data Factory, Data Bricks, Synapse, Data Lake Gen2, Stream Analytics, Azure Spark, Azure ML.
Expertise in SQL Server DB, Cosmos DB.
Collaborate with project stakeholders like database administrators, technical architects, , business analysts, big data admins, security experts, information modeling experts to determine project needs and plan development and implementation strategies.
To define, review, and explain Data Architecture requirements & design to all the project stakeholders.
Lead the migration of data from legacy systems to newly developed solution.
To create strategies and design solutions for wide variety use cases like Data Migration (end to end ETL process), database optimization, data architectural solutions for Analytics and Big Data Projects.
To design, develop and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics,Big Data environments and provide solutions for Enterprise level Applications utilizing Azure Data Platform,Work on streamlining data flows and data models consistently.
Have a keen focus on improving and tuning data quality, accessibility, performance and security needs.
Skills Required
Bachelor/ master's degree in computer science engineering.
Selfdriven, and able to think holistically of the product roadmap.
Performing reviews of data Architecture and Designs.
Research new technologies and data modelling methods.
Creative in solving complex business problems.
Handson experience in business analysis, presales, solution proposals, development.
Proficient in capturing requirements, Archietct and Design solutions for Azure Data Analytics, Big Data, Data Warehousing, ETL, MDM Projects/Products.
End-to-end implementation experience in at least ONE Project in Data Warehouse and Analytics using Azure Data platform tools.
Proficient in the tools:
Azure Data Factory, Azure Databricks, Azure Data Lake, Azure Synopse, Azure SQL DB, Cosmos DB, MSSQL.
Lead the solution implementation for Data Warehouse projects,Create conceptual, logical and physical data models for both relational and dimensional solutions.
Effectively managing large sets of data for performance, security and data governance view point.
Deep knowledge of wide variety of database systems and data mining techniques.
Experience to build and test physical data models for a variety of use cases meeting performance and efficiency goals.
To have good knowledge of relational databases like Oracle, PostgreSQL, MySQL.
To have good knowledge of unstructured data systems like MongoDB, Cassandra,Knowledge of graph databases, streaming analytics, HDInsight.
Excellent in Logical and Physical Data Modelling using data modelling tools like Erwin, Enterprise Architect, etc.,
Certifications in Architecture, Analytics, Data Science, Big Data, Cloud will be added advantage.
