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Data Modeller

8.00 to 13.00 Years   Pune   05 Apr, 2020
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryRecruitment Services
Functional AreaGeneral / Other SoftwareSales / BD
EmploymentTypeFull-time

Job Description

Development of the conceptual, logical and physical data models along with the implementation of RDBMS, operational data store (ODS), data marts and data lakes on target platforms (SQLNoSQLSnowflake). Understand and govern the expansion of existing data architecture and the optimization of data query performance via best practices. Maintain the different versions of the data models. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional and NoSQL) and data tools (reporting, visualization, analytics). Work with business and applicationsolution teams to implement data strategies, build data flows. Define and govern data modeling and design standards, tools, best practices and related development tasks for enterprise data models. Involve in the Functional KT from Business Team and guide the ETL, Reporting & Testing Teams. Identify the architecture, infrastructure and interfaces to data sources, tools supporting automated data loads, security concerns, analytical models and data visualization. Hands- on experience in ETL Architecture design, configuration, performance tuning and sandbox POC. Required Skills& Competencies Candidate should have more than 8 years of experience in DWBI area. The candidate must be able to work independently and collaboratively. Must be proficient in using Modeling tool such as Erwin Microsoft Visio. Must have prior experience on physical data modeling for anyone as the target database such as DB2Sql ServerOracle Teradata Snowflake etc. Exposure and experience to any of the industry standard model such Teradata MLDM is desirable Having experience in Manufacturing Domain & the cloud environment will be an added advantage. Work proactively and independently to address project requirements and articulate issueschallenges to reduce project delivery risks. Excellent written and oral communication skills. Self- starter with quick learning ability and efficient Implementation skills with respect to country nuances. Consultative and service bent of mind while dealing with key stakeholders. Should be able to Multi- task and be able to work under stringent deadlines. Ability to understand and work on various internal systems.

Job Segment: Database, Business Intelligence, Data Warehouse, Oracle, SQL, Technology

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Keyskills :
source system analysisphysical data modeling continuous improvement facilitationdata marts data modelsdata modeling data strategi

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