SQL Database Architect
Roles & Responsibilities:
Develop, maintain, and manage conceptual, logical, and physical data models for financial and market reference data.
Understand and implement database structures for reference data, including methods for sourcing and capturing accurate data.
Utilize UML and ERD for designing logical data models.
Work with relational database management systems (RDBMS) and write complex SQL queries.
Apply knowledge of JSON and/or XML in data modeling processes.
Participate in full project lifecycle implementation, including data migration projects.
Collaborate in agile project environments and contribute to project planning and delivery.
Experience with visual data modeling tools such as Sparx Systems Enterprise Architect is desirable.
- ...The Snowflake Data Architect / Snowflake Solution Architect is responsible for lead the design and implementation of scalable, secure,... ...in enterprise data architecture, dimensional and relational data modelling, performance tuning, and data governance. This role will drive architectural...SuggestedImmediate start
- ...Key Responsibilities: Data Pipeline Design: Responsible for designing and developing ETL data pipelines that can help in organising... ...ensure that the data is accurate, complete, and consistent. Data Modelling: Responsible for designing and implementing data modelling...Suggested
- ...a critical growth phase. As a startup transitioning from ad-hoc data management to a centralized, scalable data infrastructure, this role... ...ability to architect systems and design comprehensive data models Other Required Skills: ~7+ years of experience in database...Suggested
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- ...Responsibilities : Development & Design : Lead the design, implementation, and maintenance of efficient database structures and data models. Work closely with cross-functional teams to design scalable, high-performance databases. Review and optimize database schema...Suggested
- ...empowers companies to connect with their customers in a whole new way. The company was founded on three disruptive ideas: a new technology model in cloud computing, a pay-as-you-go business model, and a new integrated corporate philanthropy model. These founding principles have...
- ...Responsible for the adoption of data governance framework implementation for a given domain of expertise (Research, Development, Supply... ...standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure...
- ...Lead adoption and operationalization of the enterprise data governance framework for assigned domain(s). Align and engage a broad stakeholder... ...on data definitions, standards, data flows, common data models, and harmonization. Ensure compliance with privacy, security,...
- ...play a key role in implementing and driving adoption of Amgen's data governance framework, modernizing the data ecosystem to position... ...Data flows Legacy data structures and hierarchies Common data models and harmonization Ensure compliance with data privacy,...
- ...Job Title Sr. Data Warehouse Engineer, Officer Role Summary & Role Description We are seeking a talented Senior Software Engineer... ...on DW concepts. Experience in Understanding the Dimensional modelling as well as knowledge on Snowflake and Star Schema design. Experience...Full timeHybrid workFlexible hours
- ...Position: Data Integrity Specialist Job Type: Contract (12 months) Location: Hyderabad Work Timings: 1pm -10pm Job Description Corteva Agriscience, is seeking a highly motivated Crop Health Data Integrity Specialist to join our Global Team. The ideal candidate...Contract workInternshipWorldwide
- ...About the Role We are seeking a Mid-Level Enterprise Data Warehouse (EDW) Engineer with a passion for building scalable, cloud-native... ...accountability. Preferred Qualifications Experience in data modeling and architecture. Understanding of data governance, security,...
- ...Monitoring and Troubleshooting: Monitor database health, performance, and availability, proactively identify and resolve issues, and ensure data availability. Performance Tuning and Optimization: Analyze database performance, identify bottlenecks, and implement solutions to...
- ...associated tools and technologies Good knowledge of Kubernetes and working with APIs provided by various public cloud vendors to handle data is highly desired Highly skilled in Java or C/C++ in a Unix/ Linux Environment, with an understanding of modern object-oriented...
- ...Execution: Lead the conversion of SQL Server database objects (tables, views, indexes, constraints) to PostgreSQL-compatible syntax and data types. Convert SQL Server stored procedures, functions, triggers, and views into PostgreSQL-compliant PL/pgSQL with equivalent...
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- ...and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the...Immediate startShift work
- ...Implement database security measures including access control, encryption, and ensure compliance with industry standards. Collaborate with data engineers, architects, and stakeholders to design solutions and support operational needs. Maintain documentation and follow best...
- ...efficiency, scalability, and query speed. Problem-Solving and Analytical Skills: ~ Troubleshoot performance problems and analyze data trends for actionable insights. Security and Compliance: Implement access control, encryption, and other security measures....
- ...Cosmos DB CI/CD for ML Experience integrating LLMs into enterprise workflows via APIs or agent frameworks. Prior experience in data engineering is an add on. Roles and Responsibilities (please attach as annexure if space is not sufficient): Work with team to...Immediate start
- ...life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling,... ...WHAT YOU’LL DO: Design, develop, and deploy machine learning models and Generative AI solutions. Work on end-to-end ML pipelines,...
- ...TensorFlow, PyTorch, ML.NET, Azure ML, etc.). · Understanding of machine learning lifecycle: data prep → training → evaluation → deployment. · Knowledge of statistical methods, model validation, and experiment design. · Familiarity with cloud data services (Azure Data...
- .... Preferred Qualifications: Basic understanding of Snowflake data warehouse platform. Experience with cloud-based database solutions (AWS RDS / Postgres). Knowledge of data modeling and normalization techniques. Experience with database version control...
- ...the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today. About The Role Role... ...allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively...Full time
- ...have: Extensive Python programming experience (PySpark, Pandas, data manipulation libraries) Previous experience with Databricks... ...Docker, Kubernetes, Helm Building, testing, and deploying ML models using ML-Ops framework Some Other Highly Valued Skills May Include...Local area
- ...-on expertise in building applications powered by Large Language Models (LLMs). The ideal candidate will play a critical role in designing... ...improve model output relevance. Collaborate with product and data teams to translate business requirements into scalable AI-driven...Work at officeFlexible hours
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