Fractal | Data Modeler | gurugram

3 weeks ago

gurugram, India Fractal Full time
  • Role: Data Modeler
  • Location: Delhi NCR / Bangalore / Hyderabad / Pune / Chennai / Coimbatore
  • Key Skills: SQL Data Modeler, ETL, Cloud, Erwin, Dimensional Data Modelling, DWH
  • Experience Range: 6-10 years


Responsibilities:


• 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

• 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.

• 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 3+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or similar role for large scale enterprise solutions.

• 3+ 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 system

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