ARCHITECT - DATA ANALYTICS
IN
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 Experience ; > 8 years
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
Technology Standard-
NA
Tools-
MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview
Languages-
Python, R, Spark,Scala, SQL
Specialization-
DWH, BIG DATA ENGINEERING, EDGE ANALYTICS
Must to have Skills
