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- Data Modelling: Extensive experience in data modelling, including conceptual, logical, and physical data models.
- DRB (Data Resource Book): Strong experience with DRB methodologies and tools.
- Database Design: Proficiency in database design and development, including normalization, indexing, and partitioning.
- SQL: Advanced SQL skills for querying and managing databases.
- ETL Processes: Knowledge of ETL (Extract, Transform, Load) processes and data integration techniques.
- Data Warehousing: Experience with data warehousing concepts and best practices.
- Tools: Proficiency in data modelling tools such as Erwin, IBM InfoSphere Data Architect, or similar.
- Big Data Technologies: Familiarity with Big Data technologies such as Hadoop, Spark, and NoSQL databases is a plus.
- Good understanding of Cloud (AWS/GCP/Azure)
- Good understanding of data governance, data management, data engineering, data visualization concepts and tools used in the industry.
- Collaboration: Excellent communication and teamwork skills for collaborating with business analysts, data architects, and developers.
Requirements
Qualifications:
- 15+ years of experience in data modelling, database design, and data management.
- Experience in Life Insurance is mandatory to have.
- Experience in Object oriented Data base.
- Strong experience with DRB methodologies and tools.
- Proficiency in SQL and data modelling tools such as Erwin or IBM InfoSphere Data Architect.
- Solid understanding of data warehousing concepts and ETL processes.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work effectively in a team-oriented, collaborative environment.
- Familiarity with Big Data technologies is a plus.
Seniority level
Seniority level
Mid-Senior level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
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