Us Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Corp-Corp
Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 7th Aug 2021
• Participate in requirements definition, analysis and the design of logical and physical data models for Dimensional Data Model, NoSQL or Graph Data Model
• Leading data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modeling solutions.
• Conduct data model reviews with project team members
• Capture technical metadata through data modeling tools
• Ensure database designs efficiently support BI and end user requirements
• Drive continual improvement and enhancement of existing systems.
• Collaborate with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation.
• Collaborate with Data Architects for data model management, documentation, and version control.
• Maintain expertise and proficiency in the various application areas
• Maintain current knowledge of industry trends and standards
Strong data analysis and data profiling skills
• Strong Conceptual, Logical and Physical data modeling for VLDB Data warehouse and Graph DB
• Hands on experience with modeling tool such as ERWIN or another industry standard tool
• Fluent in both normalized and dimensional model disciplines and techniques
• Minimum of 3 years' experience in Oracle Database
• Hands experience with Oracle SQL, PL/SQL, or Cypher
• Exposure to Databricks Spark, Delta Technologies, Informatica ETL or other industry leading tools
• Good knowledge or experience with AWS Redshift and Graph DB design and management.
• Working Knowledge on AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS and Glue.
• Bachelor’s degree in software engineering, computer science or information systems (or equivalent experience)
• Excellent verbal and written communication skill including the ability to describe complex technical concepts in relatable terms.
• Ability to manage and prioritize multiple workstreams and confidence in making decisions about how to prioritize work efforts
• Data-driven mentality. Self-motivated, responsible, conscientious, and detail oriented
• Effective oral and written communication skills
• Ability to learn and maintain knowledge of multiple application areas
• Ability to work independently and in conjunction with a team
• Understanding of industry best practices pertaining to Quality Assurance concepts and procedures