BigData+Azure Architect

Salary depends on experience
Posted on 05/16/18
15+ years experience
Technology
Salary depends on experience
Posted on 05/16/18

Job Description

Must Have Skills –

• Over 15 years of engineering and/or software development experience and demonstrable architectureexperience in a large organization.
• Experience should contain at least 5 years of architecting solutions in combination of these environments: Data Warehouse, DataMart, Business Intelligence and Big Data.
• 3 years of consulting experience desired
• Hands-on experience in Big Data Components/Frameworks such as Hadoop, Spark, Storm, HBase, HDFS, Pig, Hive, Scala, Kafka, PyScripts, Unix Shell scripts
• Experience in architecture and implementation of large and highly complex big data projects involving MS Azure and Cosmos DB
• History of working successfully with cross-functional engineering teams
• Demonstrated ability to communicate highly technical concepts in business terms and articulate business value of adopting Big Data and related technologies to CXO level customers

Good to have skills –

• Delivery or architecting solution experience around data on any of the major cloud platforms such as AWS, Azure or Google Cloud
• Good understanding of the solution building expects of machine learning, deep learning or AI

Key Responsibilities –

• Perform architecture design, data modeling, and implementation of Big Data platform, DW platform and analytic applications for TCS customers
• Analyze latest Big Data Analytics technology stack and their innovative applications in both business intelligence analysis and new service offerings, bring these insights and best practices
• Architect and implement complex Big Data solutions
• Stand up and expand data as service collaboration with partners in US
• Develop highly scalable and extensible Big Data platforms which enable collection, storage, modeling, and analysis of massive data sets
• Drive architecture engagement models and be an ambassador for partnership with delivery and external vendors.
• Effectively communicate complex technical concepts to non-technical business and executive leaders
• Lead large and varied technical and project teams
• Assist with scoping, pricing, architecting, and selling large project engagements

Keywords –

Big Data(Cloudera,HDP,AWS EMR,HDInsights),Data Lake , Data Modelling, Data Governance, Data Strategy, Machine Learning, AWS, Azure, C

122595.

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