Your role and responsibilities

As a Data Engineer specializing in Data Modeling, you will design and implement data models for applications and related systems, translating business needs into logical and physical data models. You will apply your expertise in data modeling tools and techniques to deliver high-quality solutions.

Your primary responsibilities will include:

- Design Data Models: Design and implement data models for applications and related systems, ensuring alignment with business needs and requirements.

- Apply Data Modeling Expertise: Utilize expertise in data modeling tools and techniques, including ERWin, MDM, and/or ETL, to develop logical and physical data models.

- Translate Business Needs: Translate business needs into logical and physical data models, ensuring data models meet business requirements and are properly implemented.

- Implement Data Models: Implement data models for applications and related systems, ensuring data integrity and consistency across systems.

Required education

Bachelor''s Degree

Preferred education

Master''s Degree

Required technical and qualified expertise

- Data Modeling Tools: Experience with data modeling tools such as ERWin, MDM, and/or ETL, with the ability to apply expertise in these tools to develop logical and physical data models.





- Data Model Design: Experience with designing and implementing data models for applications and related systems, ensuring alignment with business needs and requirements.

- Logical and Physical Data Models: Experience with developing logical and physical data models, translating business needs into technical solutions.

- Data Integrity and Consistency: Experience with implementing data models that ensure data integrity and consistency across systems.

- Business Requirements Analysis: Experience with analyzing business needs and requirements to inform data model design and implementation.

Preferred technical and professional experience

- Data Warehousing Knowledge: Exposure to data warehousing concepts and methodologies, including data governance and data quality, is beneficial for this role.

- Advanced Data Modeling: Experience with advanced data modeling techniques, such as data vault and dimensional modeling, can be an asset in designing and implementing complex data models.

- Big Data Technologies: Familiarity with big data technologies, including Hadoop and NoSQL databases, can be advantageous in developing scalable data models.

Years of Experience: : - 7- 9

📌 Data Engineer-Data Modeling (Hyderabad)
🏢 IBM
📍 Hyderabad