Overview
For this role, you will need to capture and analyze requirements for analytics, data warehousing and big data projects & accordingly guide teams for implementation. You will also be required to propose solutions on various deployment models – on-premise, public cloud, private cloud and hybrid cloud environments. You are well-suited for the role if you love everything that’s got to do with data & a drive to solve complex business problems. You should demonstrate high sense of accountability and deliver high quality enterprise solutions.
Responsibilities
- You are an expert in Azure Data Analytics having thorough understanding of Azure Data Platform tools
- Expertise and hands-on experience in atleast 4 tools on Azure Platform among: Data Factory, Data Bricks, Synopse, Data Lake Gen2, Stream Analytics, Azure Spark, Azure ML
- Expertize 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
- To implement data quality processes for use with MDM, BI solutions, data warehouses, EAI solutions, etc.
- 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,
- Self-driven, 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
- Hands-on experience in business analysis, pre-sales, solution proposals, development
- Excellent written & verbal communication
- 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, MS-SQL
- 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
- Experience in Azure Functions
