Job Summary
Years of Exp 15+ Location – Pan India or any constraint Hyderabad Project type (Support / Dev / Maintenance / Testing) Development Shift involved – If yes please share timing. 2 to 11 PM IST Customer interview involved – yes / No Yes Salary Range SkillMandatory Proficiency Level (1-5) Analyze data requirements and design efficient data models.Yes5Ensure data integrity and accuracy.Yes 5Contribute to the development and maintenance of data models.Yes 5 Data VisualizationsYes4Excellent Communication Skills Yes 5 Firm understanding of SDLC (software development lifecycle) with Source codeYes 4 Understand different types of Data Modeling Techniques and Methodologies for traditional OLAP/OLTP databases and modern Data WarehousesYes5Must have worked on data modeling for Oracle, BigQueryYes5Key SkillsData warehouse modeling experience in enterprise data domains such as HR operations, Finance, Sales and MarketingGood understanding of data management principles such as data governance, data security, data qualityResponsibilitiesWork with Product Owner/Business Analysts to understand functional requirements, interpret complex business requirements, translate into meaningful data requirements and interact with other cross-functional teams to architect & deliver data solutionsInitiates, leads, and performs in-depth analysis and provides recommendations on data architecture to support complex business problems.Design data models - Conceptual, Logical and collaborate with Data Engineers on the data model, its maintenance and optimization, and end-to-end data-driven integration strategyParticipate in developing the future state data architecture standards, guidelines, and principlesQualificationsMinimum qualifications:5 or more years of experience in Data architecture and data modelingStrong domain expertise in functional areas like Finance, Risks, HR, Supply Chain etcExperience with SQL or equivalent database querying languageWorking knowledge of relational databases, including MySQL, and large-scale distributed systemsAnalytical skills with the experience identifying, quantifying, and effectively raising business risks associated with data quality or non-complianceStrong communication and collaboration skills with capability to execute with business stakeholders.
Key Responsibilities
2. To bridge the gap between client needs and business goals by gathering requirements, crafting innovative solutions with deep domain/technology expertise, and driving successful implementations that propel strategic initiatives.
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. To review architecture and design deliverables and ensure solutions adhere to industry best practices ,architectural standards simultaneously establish and enforce governance /compliance measures.
5. To train and develop team so as to ensure that there is an adequate supply of trained manpower in the said technology and delivery risks are mitigated
6. To submit Whitepapers, participate in industry forums and file Patents