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Data Modeller
Giniminds
posted 1mon ago
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Flexible timing
Key skills for the job
Job Description
As a structural data modeler, you will be working closely with data architects and data analysts to design an enterprise data modelling solution that can integrate various data sets across an enterprise is most optimal manner by reducing the query complexity and improving query response times enterprise environments.
To ensure success as a data modeler, you should have
- In-depth knowledge of RDBMS, data warehousing, ETL, data ingestion to pipeline creation and management concepts, as well as analytical ability to visualize and understand various structural data models and its pros and cons.
- Skills to interact with data analysts, big data professionals, information management experts, Data Science engineers from customers, partners, and OEMs alike.
- As a structural data modeler, you should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management.
- A solid theoretical and conceptual understanding of various Data Modelling Techniques.
- Able to efficiently catalog the current data assets and sources across different platforms, build and share data models, and track end-to-end data lineage, across different type of structured and unstructured data sets.
- Bachelor s degree in computer science, information technology, or a similar field.
- 3-5 years of hands-on experience with physical and relational data-modeling and ETL concepts in enterprise environments.
- Expert knowledge of metadata management and related tools.
- Knowledge of mathematical foundations and statistical analysis.
- Ability to write PERL / PYTHON scripts with understanding of XML and JSON.
- Strong interpersonal skills.
- Experience with team management.
- Excellent communication and presentation skills.
- Advanced troubleshooting skills.
- Exposure to one or more of data modelling tools (Graph DB, ER/Studio, Erwin Data modeler, Archi, TOAD DM or any other Open-source tools)
- Exposure to one or more of data visualization tools like PowerBI, Tableau etc. is an added advantage
- Exposure to Big data platforms like Splunk is an added advantage
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
Within city
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