Data Modelling Architect in work from home, India is listed on Jobeax. Browse 30,000+ vacancies available.
Total Experience : 8 - 16 yearsMandatory Skills : Dimensional Data Modeling, Oracle Database, SQL, PLSQL, 3NF ModelingDetailed JD : - Manage, maintain, and support Oracle databases including schema design, data storage, performance monitoring, and routine maintenance activities.- Focuses on the design and maintenance of conceptual and logical data models (3NF) and their application within IT project and business data governance processes.- Defines data modelling standards and applies within all work products.- Owns and develops artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that support decision making. Ensure accuracy, consistency, completeness, and integrity of data across Oracle-based systems through validation and quality checks.- Work with multiple IT roles including Data Analysts, Solution Architects, and Information Architects to embed the use of data models within both project and strategic activities.- Work with business data governance teams to embed the use of data models and associated definitions within governance processes.- Work closely with multiple roles to build expert level knowledge of business data and apply in the creation of data models and supporting artefacts describing RD data and data flows.- Locate and define new process improvement https://jobeax.com/link/6GrLKdVpKqQcaxaQ Requirements : - Experience with Oracle Database. Proficiency in SQL, PLSQL, and database query optimization.- Experience of developing and applying conceptual and logical data models (3NF).- Experience of using at least one data modelling tool, ideally ERStudio or Erwin.- Understanding of fundamental design principles behind a scalable application and data design.- Strong Exposure to IT Project Lifecycle.- Life Science Domain Experience.- Ability to interpret and communicate technical information into business https://jobeax.com/link/JmhrxeNl4Tx5VdIN Background : Any Bachelors or Masters Degree from a reputed institution. (ref:hirist.tech)
... development, and optimization of our database systems. You will play a key role in ensuring data integrity, scalability, performance, and security across all database platforms used in our organization. Key Responsibilities Design and implement robust, scalable, and secure database architectures. Develop database solutions ...
BarodaSun Technologies Limited BSTL is hiring a Database Architect on a contractual basis for its Mumbai office . Were seeking a professional with in-depth experience in enterprise database administration and architecture, capable of managing mission-critical database systems and ensuring performance, availability, and ...
... https://jobeax.com/link/EnCWxVsrOA3PLZCF Data & AI Architecture : - Design modern AWS-native data platforms including ingestion, storage, transformation, governance, semantic layer, and data products.- Architect enterprise data products using domain-driven design principles.- Establish architecture standards for performance, scalability, resiliency, ...
Key responsibilities :Data Architecture & Platform Build :- Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)- Enable self-service analytics and reporting platforms- Lead implementation of BI tools and dashboards- Partner with business teams to define KPIs, metrics, and insights frameworks- ...
... foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, including a complete overhaul of our data feeds - Defining streaming event data feeds required for real-time analytics ...
... - Knowledge of data security and authentication protocols - Experience in areas of data governance, privacy and regulation and professional experience with architectural approaches to data security - Have experience integrating multiple data sources into a common set of data assets Stay up to date on everything Blackbaud, ...
... management SnapLogic — building and maintaining integration pipelines and connecting heterogeneous source systems dbt — writing modular, tested transformations; Data Modelling — dimensional modelling, medallion/layered architectures, normalisation vs. Strong SQL and at least one scripting language (Python preferred) AI-AUGMENTED ...
... leading the system design and implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...
... data ecosystems. Lead the design, architecture, and delivery of large-scale data engineering solutions across cloud and hybrid environments. Drive end-to-end data platform implementations encompassing data ingestion, transformation, storage, processing, governance, and consumption. Architect batch and real-time data pipelines ...
... every model — from classical ML to RAG pipelines and autonomous agents — is reproducible, explainable, observable, and production-safe. The incumbent will architect and implement the MLOps and LLMOps platform on Databricks, leveraging Agentbricks (Databricks Agent Framework), Databricks Apps, MLflow, Feature Store, Model ...
... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)