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3.0 - 7.0 years
0 Lacs
noida, uttar pradesh
On-site
You will study and analyze user and business requirements to develop end-to-end logical designs for web applications. You will write user stories, workflows, and process flows to clearly define the solution's functionality and usability. Creating and maintaining Entity-Relationship Diagrams (ERD) and relational database designs for optimal data management and integration will be part of your responsibilities. Designing SQL databases, including schema definition, normalization, and optimization for performance will also fall under your purview. You will need to develop wireframes/mockups to illustrate the intended user interface and interactions. Collaboration with software engineers, quality assurance testers, and operations teams is essential to refine and implement the design, ensuring alignment with requirements. Providing guidance and recommendations for improving existing systems to enhance user experience and operational efficiency will be expected from you. It is important to think holistically about the solution, integrating technical design, user experience, and business goals. Requirements: - Bachelor's Degree in Computer Science, Information Systems, or a related field - At least 3 years of experience in business analysis, software analysis and design, or solution design roles - Strong knowledge of relational database concepts and SQL, including hands-on experience designing and implementing databases - Proficiency in creating and interpreting Entity-Relationship Diagrams (ERD) - Relevant knowledge in web application design, including UI/UX best practices and standards - Excellent analytical and problem-solving skills with a solution-oriented mindset - Strong communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders - Experience with Environmental, Social, and Governance (ESG) is a plus,
Posted 1 week ago
6.0 - 10.0 years
0 Lacs
chennai, tamil nadu
On-site
As a Data Modeller specializing in GCP and Cloud Databases, you will play a crucial role in designing and optimizing data models for both OLTP and OLAP systems. Your expertise in cloud-based databases, data architecture, and modeling will be essential in collaborating with engineering and analytics teams to ensure efficient operational systems and real-time reporting pipelines. You will be responsible for designing conceptual, logical, and physical data models tailored for OLTP and OLAP systems. Your focus will be on developing and refining models that support performance-optimized cloud data pipelines, implementing models in BigQuery, CloudSQL, and AlloyDB, as well as designing schemas with indexing, partitioning, and data sharding strategies. Translating business requirements into scalable data architecture and schemas will be a key aspect of your role, along with optimizing for near real-time ingestion, transformation, and query performance. You will utilize tools like DBSchema for collaborative modeling and documentation while creating and maintaining metadata and documentation around models. In terms of required skills, hands-on experience with GCP databases (BigQuery, CloudSQL, AlloyDB), a strong understanding of OLTP and OLAP systems, and proficiency in database performance tuning are essential. Additionally, familiarity with modeling tools such as DBSchema or ERWin, as well as a proficiency in SQL, schema definition, and normalization/denormalization techniques, will be beneficial. Preferred skills include functional knowledge of the Mutual Fund or BFSI domain, experience integrating with cloud-native ETL and data orchestration pipelines, and familiarity with schema version control and CI/CD in a data context. In addition to technical skills, soft skills such as strong analytical and communication abilities, attention to detail, and a collaborative approach across engineering, product, and analytics teams are highly valued. Joining this role will provide you with the opportunity to work on enterprise-scale cloud data architectures, drive performance-oriented data modeling for advanced analytics, and collaborate with high-performing cloud-native data teams.,
Posted 1 month ago
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