Lead/Consultant - Data Modeler
hyderabad/pune, India
DATAECONOMY
- 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.
Responsibilities:
- Design and develop
robust data models to support business requirements, ensuring consistency,
quality, and accuracy.
- Utilize DRB
methodologies to create and maintain comprehensive data resource books.
- Collaborate with
business analysts and stakeholders to gather and interpret requirements,
translating them into effective data models.
- Develop and optimize
database schemas, ensuring efficient data storage and retrieval.
- Support ETL processes
and data integration initiatives, ensuring data consistency and integrity
across systems.
- Implement data
warehousing solutions, supporting reporting and analytics needs.
- Ensure compliance with
data governance policies and standards.
- Conduct data profiling
and analysis to identify and resolve data quality issues.
- Provide guidance and
mentorship to junior data modelers and data engineers.
- Stay updated with
industry trends and advancements in data modelling and database
technologies.
Requirements
- Bachelor’s degree in
Computer Science, Information Technology, or a related field; Master’s
degree preferred.
- 15+ years of experience
in data modelling, database design, and data management.
- 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.
Benefits
Standard Company Benefits* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
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Leadership Jobs
Tags: AWS Azure Big Data Computer Science Data governance Data management Data quality Data visualization Data Warehousing Engineering ETL GCP Hadoop NoSQL Spark SQL
Region:
Asia/Pacific
Country:
India
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