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Data Modeller
Neoistone
posted 15hr ago
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Flexible timing
Key skills for the job
Job Description
- Data Modeling Techniques : Conceptual, logical, and physical data modeling.
- Data Modeling Tools : ER/Studio, Power Designer, Erwin.
- Modeling Methodologies : Dimensional modeling, Data Vault.
- Data Warehousing & Optimization : Star Schema, SQL, and query optimization.
- Programming Languages : Experience with Apache Spark and Python.
- Data Model Development : Design and build conceptual, logical, and physical data models for various applications, including RDBMS, operational data stores (ODS), data marts, and data lakes on platforms such as SQL and NoSQL.
- Cloud Platform Expertise : Leverage experience with market-leading cloud platforms, including GCP and AWS, to optimize data models for cloud environments.
- Data Relationship Design : Create data models that reflect complex data relationships, supporting efficient data ingestion, processing, and usage.
- Business Requirements Translation : Work closely with stakeholders to understand business needs and translate them into scalable data models for long-term solutions.
- Reverse Engineering : Conduct reverse engineering of physical data models from databases and SQL scripts to ensure data integrity and consistency.
- System Integration & Solutions : Analyze data-related system integration challenges and propose effective solutions to meet data requirements.
- Stakeholder Interaction : Communicate effectively with both technical and non-technical stakeholders, providing insights and solutions that align with business objectives.
- Bachelor s degree in Computer Science, Information Technology, or equivalent work experience.
- Proven experience in data modeling with expertise in designing efficient, high-quality data solutions.
Mandatory Skills
- Proficiency in data modeling techniques (conceptual, logical, and physical).
- Experience with data modeling tools (ER/Studio, Power Designer, Erwin).
- Strong knowledge of data modeling methodologies (Dimensional modeling, Data Vault).
- Expertise in data warehousing, star schema design, SQL, and query optimization.
- Experience with programming languages such as Apache Spark and Python.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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