Azure Data Engineer

6 days ago


Jersey City, United States Johnson & Johnson Full time

Data Architect / Sr Data Engineer/Analyst

Responsibilities

  • You are an expert in Azure Data Analytics and have a thorough understanding of Azure Data Platform tools
  • Expertise and hands-on experience on Data Factory, Data Bricks, Synapse, Data Lake Gen2 and Logic Apps.
  • 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 solutions.
  • To create strategies and design solutions for a wide variety of 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 and build re-usable models
  • 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, solution proposals, development
  • Excellent written & verbal communication
  • Proficient in capturing requirements, Architect 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 Synapse, 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 viewpoint
  • Deep knowledge of a wide variety of database systems and data mining techniques
  • Experience in building and testing 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 an added advantage

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