Data Modeller

4 days ago

Gurugram Chennai, India Neal Analytics Full time

Job Description - Participate in requirements definition, analysis, and the design of logical and physical data models for Dimensional Data Model, NoSQL, or Graph Data Model. - Lead 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 tools 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-on 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 of AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS, and Glue. - Bachelors degree in Software Engineering, Computer Science, or Information Systems (or equivalent experience). - Excellent verbal and written communication skills, including the ability to describe complex technical concepts in relatable terms. - Ability to manage and prioritize multiple workstreams with confidence in making decisions about prioritization. - 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. - Understanding of industry best practices pertaining to Quality Assurance concepts and procedures. - Education/Experience Level - Bachelors 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 a 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 systems.

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