• 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 :- 10th 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

 

 

Required Skills

 

•              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

 

 

 

Education/Experience Level:

 

•              Bachelor’s degree in Computer Science, Engineering, or relevant fields with 8+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.

•              8+ years of experience with Data Modeling in finance, commercial, supply chains, procurement, Customer analytics

•              8+ years of experience of IT platform implementation in a technical role

•              8+ years of development and/or DBA experience in Relational Database Management Systems (RDBMS)

•              3+ years of experience in Data Transformation/ETL tools and technologies, and related concepts such as data catalog

•              5+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem including Data Lake, Data Warehouses, and Graph DB

•              AWS Solutions Architect Professional Level certifications

•              Extensive experience in data analysis on critical enterprise systems like SAP, E1, Mainframe ERP, SFDC, Adobe Platform and eCommerce systems