Aws data modeler

4 weeks ago

Delhi, India FLYONIT Full time
AWS Data Modeler
Company Description
FLYONIT is an Australian IT company based in Melbourne, offering a wide range of IT services including corporate branding, website and mobile development, cloud-based solutions, IT infrastructure, and more. The company prides itself on providing cost-effective and timely project implementations, with a team of experienced technical personnel. FLYONIT has a history of successful projects with clients ranging from government agencies to educational institutes and private sector organizations.
Role Description
This is a full-time Remote role for an AWS Data Modeler at FLYONIT located in the Kolkata metropolitan area. The Data Modeler will be responsible for data governance, data modeling, data quality, data architecture, and ETL processes. The role involves working closely with the IT team to design and implement effective data solutions to meet business needs.
Qualifications
Data Governance, Data Modeling, and Data Quality skills
Data Architecture and ETL (Extract Transform Load) skills
Experience in database management and optimization
Strong analytical and problem-solving skills
Knowledge of AWS services and cloud computing
Excellent communication and collaboration abilities
Bachelor's degree in Computer Science, Information Technology, or related field
Location : Flexible
Employment Type : Full-time
Responsibilities:
Design and implement data models to support analytics and business intelligence needs.
Collaborate with stakeholders to understand data requirements and translate them into models.
Create ER diagrams and conceptual, logical, and physical data models.
Optimize database performance and scalability.
Ensure data quality, governance, and compliance.
Work closely with data engineers to implement and test models.
Requirements:
6+ years of experience in data modeling or related roles.
Expertise in relational and dimensional modeling techniques.
Proficiency in AWS services like Redshift, Glue, and Dynamo DB.
Experience with data modeling tools (e.g., ER/Studio, Power Designer).
Strong understanding of SQL and database design principles.
Excellent analytical and communication skills.

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