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)
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture. Responsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, ...
... interface performance during hypercare. Data From Process to Data Lake Data Validation & Process Improvement Support automation of CSV-Data upload by validation and data quality checks Perform data validation and cross-checks to ensure data quality and consistency Validate raw data and transform structured data to Data Model as ...
... contract and the Sponsor’s expectations. Core Responsibilities • Acts as Functional Lead for Data Management including primary contact for internal liaison between Data Management/Operations and Project Management, Clinical Monitoring, and other functional groups • Coordinate the work of the assigned Data Management/Data Operations ...
... teams and engineering execution, ensuring data infrastructure directly drives revenue and AI/ML https://jobeax.com/link/q3usO6A8ieWThPkm Responsibilities :- Data Platform Ownership : Design and scale a multi-region data warehouse architecture (Snowflake/BigQuery/Redshift) and manage complex ingestion pipelines from marketplaces, ...
... independently own outcomes with minimal supervision Good to have Production Django experience E-commerce / D2C platform experience Streaming & event-driven architecture Kafka or similar systems Familiarity with probabilistic data structures HyperLogLog Bloom Filters t-digest ~ Comfort with server-rendered applications/screens ...
... Server (T-SQL) and relational database design, with solid experience in data migration and conversion projects. Design and build ETL/ELT pipelines to convert data between source and target systems, following the mapping and transformation logic defined by the Architect. Good working knowledge of data mapping, source-to-target ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. https://jobeax.com/link/6WcBICn0LM558SP0 ...
... and convenience in a seamless digital experience. Collaboration with Data Engineering Team Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing Collaborate in designing and optimizing data pipelines for seamless data movement Work jointly on data architecture decisions ...
... testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management ...
Role Overview : We are looking for a Senior Azure Data Engineer with strong expertise in Databricks and Azure data services. The role involves designing, building, and optimizing scalable, secure, and high-performance data platforms, leveraging modern Lakehouse architecture and real-time data processing https://jobeax.com/link/NEGihx4n1Wqwy714 ...
... https://jobeax.com/link/GrYTXLZMpxEMJknV Core Champion DevOps practices using Azure DevOps for CI/CD pipelines, automated testing, and infrastructure as code Manage and optimize SQL Server databases, including performance tuning, indexing strategies, and data modelling Identify technical debt, performance bottlenecks, and drive continuous improvement ...
... behavior. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented ...
... success. Migrate and transform client corporate governance data and documents into Diligent platforms, ensuring accuracy, consistency, and completeness. Run regular data quality checks, validate data against source records, and quickly correct errors to maintain high data integrity. Use advanced Excel functions, databases, and ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
... 401 applicants About the job As a Data Analytics Executive at LAVORO GROUP OF TECHNOLOGIES, you will play a crucial role in analyzing and interpreting complex data sets to drive business decisions and strategies. We are looking for a skilled professional who is proficient in Python, SQL, Data Analytics, MS-Excel, Data Science, ...
... Inputting data accurately and efficiently into our systems 2. Maintaining and updating databases with the latest information 3. Generating reports and analyzing data using MS-Excel 4. Ensuring data integrity and quality control measures are followed 5. Collaborating with team members to optimize data management processes 6. ...
... Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...