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)
... 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)
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...
Job Title: Data Engineer - ML Training Data Pipeline Notice period: 0-30 Days Experience : 5+ Years Location: Hyderabad OR Pune  We are looking for  Data Engineer - ML Training Data Pipeline who can  Build and maintain the data pipeline that transforms raw production traces into high-quality training datasets ...
... traditional models and event driven architecture. This will span multi markets, business models and form factors, therefore, we are looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate. Also, the data science community at Walmart ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... Data Management/Governance Policies, Procedures, Processes, Standards and Control Providing inputs and recommendation on Data practices, Data definitions and Data Quality Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... adhering to industry best practices.- Build and maintain robust ingestion pipelines from relational databases, APIs, cloud storage, and flat files.- Develop layered data architectures (e.g., staging, intermediate, and mart layers) to ensure reliable and reusable data assets.- Leverage orchestration tools (e.g., Airflow, dbt Cloud, ...
... https://jobeax.com/link/uw09q4zp7W2jeNTj :- Design and develop scalable data pipelines using PySpark and Spark SQL on Azure Databricks.- Build and orchestrate ETL workflows using Azure Data Factory (ADF) and ADLS.- Develop and maintain modern Lakehouse architecture while ensuring data quality and reliability.- Monitor production data pipelines, troubleshoot ...
... https://jobeax.com/link/uw09q4zp7W2jeNTj :- Design and develop scalable data pipelines using PySpark and Spark SQL on Azure Databricks.- Build and orchestrate ETL workflows using Azure Data Factory (ADF) and ADLS.- Develop and maintain modern Lakehouse architecture while ensuring data quality and reliability.- Monitor production data pipelines, troubleshoot ...
... Alation APIs, REST APIs, SQL, and Python . - Monitor and troubleshoot metadata ingestion, crawler jobs, integrations, and catalog issues. - Collaborate with Data Owners, Data Stewards, Data Architects, Data Engineers, and business stakeholders. - Define and implement data governance and data quality standards. - Lead/mentor ...
... or Azure environments Python & scripting for automation and data processing Data streaming technologies (Kafka, Spark, Flink) Big Data platforms (Snowflake, Databricks, Hadoop, Teradata) Exposure to AI/ML and advanced analytics Experience with NoSQL databases Ability to design scalable and maintainable data architectures. ...
... Modelling, OLAP cube modelling.- Data compression into PARQUET to improve processing and finetuning SQL programming skills.- Experience building and optimizing "big data" data pipelines, architectures and data sets.- Experience performing root cause analysis on internal and external data and processes to answer specific business ...
... Tableau dashboards . - Expert-level SQL skills, including complex queries, joins, aggregations, transformations, and query optimisation. - Strong understanding of data preparation, modelling, visualisation, and BI development processes. - Experience translating business requirements into accurate, intuitive, and actionable dashboards. ...
... prediction and forecasting tasks on tabular/text datasets. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ...
... role Ethos is seeking a Data Engineer to join our Data Platform team and build the internal infrastructure, services, and tooling that the rest of the company's data stack runs on. This is a software engineering role with a deep data background. You will design and operate distributed workflow systems on Temporal and Airflow, ...
... Fabric or similar) including IAC - Familiarity with modern data tooling (e.g., dbt, Airflow, Fivetran, Azure Data Factory or equivalents) - Understanding of data integration patterns (APIs, ingestion pipelines, transformation layers) and Solid understanding of data modelling (star schema, dimensional modelling, data warehousing ...