Johnson & Johnson | Azure Data Engineer (Ex-Microsoft/JnJ exp)

Johnson & Johnson • jersey city, nj, us • 4w ago

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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