• 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