Senior Data Modeler
1 month ago
Job Title : DATA Modeler
Work Location : Kolhapur, Hyderabad , Bangalore, Chennai, Visakhapatnam
Experience : 7+ years
Required Skills : Big Data Technologies(Hadoop, Spark), Cloud based technologies(AWS, Azure), Data Modeling
Job Overview :
We are seeking a highly skilled and experienced Data Modeler and ETL (Extract, Transform, Load) Specialist.
The ideal candidate will be responsible for designing robust data models, implementing efficient ETL processes, and ensuring the integrity and quality of our organization's data.
Responsibilities :
Data Modeling :
- Develop and maintain conceptual, logical, and physical data models that align with business requirements and support organizational goals.
- Collaborate with stakeholders, data architects, and development teams to understand data requirements and translate them into effective data models.
ETL Design :
- Design, develop, and optimize ETL processes for the extraction, transformation, and loading of data from various sources to destination systems.
- Implement best practices for data integration, ensuring efficiency, scalability, and data quality.
Documentation :
- Create and maintain comprehensive documentation for data models, ETL processes, and data flow diagrams.
- Preparation of source to target mapping.
Qualifications :
- Software professional experience of minimum 5 years in data modeling.
- Proven experience in data modeling using tools such as ERwin, ER/Studio, or similar.
- Strong expertise in designing and implementing ETL processes using tools like Informatica, Talend, or Apache NiFi.
- Strong expertise in Datawarehouse concepts, design and dimensional models for data warehouse (Star and Snowflake schemas).
- In-depth knowledge of relational and dimensional modeling.
- Good hands-on on SQL query writing skills.
- Experience with data profiling, data cleansing, and data quality assurance.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Preferred Qualifications :
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of cloud-based data solutions (AWS, Azure, GCP).
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