Azure Data Factory

1 week ago

Bengaluru Bangalore Pune, India Anlage Infotech India Private Limited Full time

Responsibilities - AZURE

  • 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.

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