Architect - Data Analytics

Job Description

Job Summary Person at this position owns architecture/ design of a sub-system (a set of modules or a product), formulates new solution and ideas and produces new or original work. Person demonstrates the ability to justify a stand or decision supported by sound technical knowledge base. Person is able to the represent the organization externally in detailed technical discussion with the customer with a high level of authority on technical matters. Person leads projects which are of significant organisational profile and makes trade-off decisions to deliver solutions that both meet customer's technical requirements and timelines. Person demonstrates the ability to analyse and interpret complex problems and improve, change or adapt existing methods to solve the problem. Roles & Responsibilities Person at this position owns architecture/ design of a sub-system (a set of modules or a product), formulates new solution and ideas and produces new or original work. Person demonstrates the ability to justify a stand or decision supported by sound technical knowledge base. Person is able to the represent the organization externally in detailed technical discussion with the customer with a high level of authority on technical matters. Person leads projects which are of significant organisational profile and makes trade-off decisions to deliver solutions that both meet customer's technical requirements and timelines. Person demonstrates the ability to analyse and interpret complex problems and improve, change or adapt existing methods to solve the problem. Education and Experience Required Engineering graduate, MCA, etc Competencies Description Data engineering TCB is applicable to one who 1) Creates databases and storage for relational and non-relational data sources 2) Develops data pipelines (ETL/ ELT) to clean , transform and merge data sources into usable format 3) Creates reporting layer with pre-packaged scheduled reports , Dashboards and Charts for self-service BI 4) Has experience on cloud platforms such as AWS, Azure , GCP in implementing data workflows 5) Experience with tools like MongoDB, Hive, Hbase, Spark, Tableau, PowerBI, Python, Scala, SQL, ElasticSearch etc. Platforms- AWS, Azure , GCP Tools- MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview Languages- Python, R, Spark,Scala, SQL