Job Location: Gurgaon, Delhi NCR
Education Required : BSc (Eng or Comp Science or Information Systems) or BCom (Informatics) or equivalent NQF level 6 qualification
Experience Required :
– 5 years Technical Experience (Knowledge and Exposure would be beneficial)
– 5 years Analysis Experience
Hard Skills :
– Understand Core Modelling Principles (Logical and Physical)
– Knowledge of the IT trends, Data Warehouse and Data Architecture principles, practices and standards
– To understand and apply concepts such as: Relational Data Structures, Entity-Relationship and Object Modeling, Data Warehouse / Marts
– Read / Understand Code of any Language
– Write queries of any Language (Preferably SQL / Scala)
– Problem solving and analytical skills
– Understand/unpack the end-to-end flow data (process) and impact due to changes in data across the value chain of the data (From Cotton-to-Cash) ie. High Level Data Flow Diagrams, Source-to-Target mappings etc.
– Ability to vary the depth of analysis from High Level (Rapid) to detailed analysis)
– Conceptual understanding of Data Visualization / Data Virtualization
– JAD Facilitations
– Document and unpack Business Data Requirements through continuous Business and Tech Engagement
– Communication Skills (Verbal, Written)
Tool Set :
– Excel (Proficient)
– PL SQL, MS SQL, Oracle, DB2, MySQL – HQL (Proficient)
– Scala or similar language useable in Spark – PySpark, R, etc. (Knowledge and Exposure would be beneficial)
– Data Visualization Tools – Tableu, QlikView, QlikSense, Excel, etc. (Intermediate)
– Data Virtualization Tools – Denodo (Knowledge and Exposure would be beneficial)
– Big Data Knowledge – (Intermediate)
Competencies :
– Analyse and resolve problems
– Deadline Driven
– Managing Tasks
– Meeting Timescales
– Team Working
– Impatient Driver (Pro-Active in resolving problem statements. No hand holding required)
– Curious (Self-motivated to learn new things and question things one don- t fully understand – not afraid to fail)
– Teachable (willing to learn and not afraid to ask)
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